What is Instagram Threads? How to Use and Download Threads Application?

Instagram Threads

Instagram’s parent company Meta recently launched a new App that is Instagram Threads. An Instagram profile will connect with them, and people will use Instagram threads to talk to them. This feature have seen before on Twitter.

Instagram is bringing many new updates at this time.Just a few days ago, Instagram launched the Paid Blue Tick Subscription. After that, a new app, almost like Twitter threads, was introduced. We will provide detailed information about it and also try to download the features, website, and app to obtain complete information.

But first of all, we should know that,

What is Instagram Threads?

Threads is a text-sharing app created by the Instagram team. Users can share information in Threads using this app. It is designed for all Instagram users to engage in public conversations on the Instagram platform. Previously, only photos and videos could be shared on Instagram, but now text can also be shared in threads. This is a separate mobile app that needs to be downloaded. However, the account will be connected to the Instagram profile, meaning the account used for the Instagram profile. You can use the same for Instagram threads, in such a situation people do not need to create a new account by downloading a new App separately.

Instagram Threads Features?

Instagram Threads is a completely different mobile app that needs to be downloaded separately. In this case, users who directly use Instagram can find it displayed on their profile or download the app directly from the Play Store or App Store. People who are looking for Instagram Threads APK Download do not need to visit any third-party website.

Meta has officially launched it, so any user does not need to download MOD APK or any other App from anywhere. Anyone can download it by going directly from Play Store.

Download Threads.

How to create Instagram Threads Account?

There is no need to create a separate account on Threads. The user who has an Instagram account does not need to create a separate account. Because it connects with a direct profile. As a user creates a direct account, it asks for login information from Instagram.

In this case, there is no need to create a separate account to login.

Step 1. First of all, download the app from the play store from the above link or Click here.

Step 2. Open the App.

Step 3. It will show the ID of the Instagram account. Click on it.

Step 4. Now, click on the account import option to import everything directly from Instagram.

In this way, an account will be created without adding or writing anything separately. Everything is import from Instagram profiles. This creates a new user account without requiring any additional information.

FAQs :-

Q1. What is Threads?

A1: . The Instagram team developed Threads, It allows users to share text updates and participate in public conversations. . Its goal is to expand the capabilities of Instagram and provide a positive and creative space for expressing ideas.

Q2. How do I log into Threads?

A2: To log in to Threads, you can use your existing Instagram account. Your Instagram username and verification will be transfered to Threads, and you will have the option to customize your profile specifically for the Threads app.

Q3. What can I Post on Threads?

A3:­ Post on threads can be up to 500 characters long and can include links, photos, and videos of up to 5 minutes. You can easily share a Threads post to your Instagram Story or share it as a link on other platforms.

Q4. Can I control who can interact with my Threads posts?

A4: Yes, Threads provides tools to control who can mention you or reply to your posts. Similar to Instagram, you can add hidden words to filter out replies that contain specific words. You also have the ability to unfollow, block, ban, or report a profile from within the app.

Q5. How does Threads Prioritize content in my feed?

A5: Your feed on Threads includes threads posted by people you follow, as well as recommended content from new creators you haven’t discovered yet. The app aims to provide relevant and engaging content based on your interests.

Q6. Is Threads a Secure Platform?

A6: Safety is a priority for Threads, and it enforces Instagram’s Community Guidelines for content and interactions within the app. Instagram has invested significant resources in protecting users, and these efforts extend to threads as well.

Q7. Will Threads be compatible with other social networks?

A7: Yes, Threads is working towards compatibility with open, interoperable social networks. The app plans to support the Activity Pub protocol established by the World Wide Web Consortium (W3C). This compatibility will allow connection with other apps that support the same protocol, such as Mastodon and WordPress.

Q8. What are the benefits of interoperable networks?

A8: Interoperable networks enable new types of connections and interactions that aren’t possible on most social apps today. Developers can build innovative features and user experiences that integrate seamlessly with other open social networks. Each compatible app can set its own community standards and content moderation policies, giving users the freedom to choose a location that aligns with their values.

Q9. Can I transfer my content from Threads to another service?

A9: Threads plans to work with Activity Pub to provide users with the option to stop using Threads and move their content to another compatible service. This ensures users have control over their content and the ability to switch platforms while maintaining their data.

Q10. From where I can download Threads?

A10: Threads is available for download on iOS and Android devices. You can find the app on the Apple App Store and Google Play Store in over 100 countries.

Hopefully, you will get all the information about download and usage of Instagram Threads APK. It was recently launched and gained over 10 million users in a day. How has been your experience? Tell us about it in the comments and share it on social media so that more people can get the information.

Top 15 Best Artificial Intelligence(AI) Tools in 2023 for Business|Mind-Blowing Free AI Tools.

Top 15 AI Tools feature image

Top 15 best AI tools for business.

Artificial Intelligence (AI) is revolutionizing the way businesses operate by providing powerful tools for automating processes, improving efficiency, and making better decisions. As AI technology advances, new tools are emerging that are designed to solve complex problems in various industries. In this article, we will look at 15 AI tools that are making waves in the world of business.

List of Incredible AI Tools and machine learning Tools.

Conversational 15 Ai tools, Artificial Intelligence(AI) Technologies with examples.!

1.TensorFlow: TensorFlow is an open-source platform for building and training machine learning models. It was developed by Google and is widely used for a range of applications, including image recognition, natural language processing, and predictive analytics. TensorFlow provides an easy-to-use API, making it accessible to developers of all skill levels. It is designed to streamline the process of developing and executing advanced analytics applications for users such as data scientists, statisticians, and predictive modelers. The framework includes sets of both high-level and low-level APIs. Google recommends using high-level ones when possible to simplify data pipeline development and application programming. However, knowing how to use the low-level APIs — called TensorFlow Core — can be valuable for experimentation and debugging of applications, the company says; it also gives users a “mental model” of the machine learning technology.

2.PyTorch: PyTorch is an open-source machine learning library used for developing and training network-based deep learning models. It is primarily developed by Facebook’s AI research group. PyTorch can be used with Python as well as a C++. Naturally, the Python interface is more polished. Pytorch is immensely popular in research labs. Not yet on many production servers — that are ruled by frameworks like TensorFlow (Backed by Google) — PyTorch is picking up fast.

The high-level features which are provided by PyTorch are as follows:

  • With the help of the Graphics Processing Unit (GPU), it gives tensor computing with strong acceleration.
  • It provides Deep Neural Network, built on a tape-based auto diff system.

PyTorch was developed to provide high flexibility and speed during the implementation and building of the Deep Learning Neural Network. As you already know, it is a machine learning library for Python programming language, so it’s quite simple to install, run, and understand. Pytorch is Completely Pythonic (using widely adopted Python idioms rather than writing Java and C++ code) so it can quickly build a Neural Network Model successfully.

3.Scikit Learn: Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction via a consistence interface in Python. This library, which is largely written in Python, is built upon NumPy, SciPy, and Matplotlib. It also provides many unsupervised and supervised learning algorithms.

The functionality that scikit-learn provides includes:

  • Regression
  • Classification
  • Clustering
  • Model selection
  • Preprocessing

4.CNTK:  The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. In this article, you will explore advanced techniques for working with Microsoft CNTK and identify which cases benefit most from MS CNTK. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. You can implement many practical AI projects using Python and MS CNTK.

5.Caffe: Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. It supports a variety of deep learning architectures such as CNNRCNN, LSTM, and fully connected networks. With its graphics processing unit (GPU) support and out-of-the-box templates that simplify model setup and training, Caffe is most popular for image classification and segmentation tasks. In Caffe, you can define model, solver, and optimization details in configuration files, thanks to its expressive architecture. In addition, you can switch between GPU and central processing unit (CPU) computation by changing a single flag in the configuration file. Together, these features eliminate the need for hard coding in your project, which is normally required in other deep-learning frameworks. Caffe is also considered one of the fastest convolutional network implementations available.

Caffe is used as the core foundation for a wide variety of academic research, prototypes, and large-scale industrial applications, in particular those supporting image classification and image segmentation. 

6.Keras: Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Keras Is used especially for building neural network models. It is written In Python and is Compatible with both versions of Python that are 2.7 & 3.5. It was Developed for the fast execution of Ideas. Its interface is very simple and highly modular, which helps us to create even complex neural network models very easily and syntax is also very easy to understand. Also this library abstracts Low-Level libraries, Like TensorFlow and Theano so that the users are free from “Implementation Details” of these libraries.

The Key Features of Keras are:

  • Modularity : Modules necessary for building a Neural Network are included in an interface so that it is easier to use for the end user.
  • Minimalistic : Implementation is short and concise.
  • Extensibility: It is very suitable for advanced research and also it is very easy to write a new module for Keras.

7.OpenNN: It is an open-source class library written in ANSI C++ which implements neural networks. OpenNN is a free neural networks library for advanced analytics. It has solved many real-world applications in energy, marketing, health, and more.
OpenNN is a tool in the Machine Learning Tools category of a tech stack.
It uses machine learning techniques for solving predictive analytics tasks in different fields. For instance, the library has been applied in the engineering, energy, and chemistry sectors.

It is developed in C++ for better memory management and higher processing Speed, and implements CPU parallelization by means of OpenMP and GPU acceleration with CUDA. OpenNN has been written in ANSI C++. This means that the library can be built on any system with little effort. For example, a natural designer is a software tool for advanced analytics. It been developed from OpenNN and contains a graphical user interface which simple data entry and interpretation of result.

8.AutoML: Automated machine learning (AutoML) is the process of applying machine learning (ML) models to real-world problems using automation. More specifically, it automates the selection, composition and parameterization of ML models. Automated Machine Learning (AutoML) is tied in with producing Machine Learning solutions for the data scientist without doing unlimited inquiries on data preparation, model selection, model hyperparameters, and model compression parameters.

AutoML frameworks help the data scientist in:

  • Data visualization
  • Model intelligibility
  • Model Deployment

9.Apache MXNet: Apache MXNet is a powerful open-source deep learning software framework instrument helping developer’s build, train, and deploy Deep Learning models.  It is scalable, allowing for fast model training, and supports a flexible programming model and multiple programming languages (including C++PythonJavaJuliaMATLABJavaScriptGoRScalaPerl, and Wolfram Language). The MXNet library is portable and can scale to multiple GPUs[2] as well as multiple machines. It was co-developed by Carlos Guestrin at the University of Washington (along with GraphLab).

10.H2O.ai: H2O.ai is an open-source platform for building and deploying machine learning models. It provides a range of tools for data analysis, feature engineering, and model tuning. H2O.ai is designed to be highly scalable, making it a popular choice for large-scale applications.

 H2O supports the most widely used statistical & machine learning algorithms including gradient-boosted machines, generalized linear models, deep learning, and more.

11.Google ML Kit: ML Kit is Google’s machine learning expertise for mobile developers in one powerful and easy-to-use package. Make your iOS and Android apps more attractive, personalized and helpful with solutions optimized to run on all devices.ML Kit is a mobile SDK that brings Google’s on-device machine learning expertise to Android and iOS apps. Use our powerful yet easy to use Vision and Natural Language APIs to solve common challenges in your apps or create brand-new user experiences.ML is not available in stable version ML Kit is still only available in beta version. It can be launched using Firebase.ML Kit gives you both on-device and Cloud APIs, all in a common and simple interface, allowing you to choose the ones that fit your requirements best.

Features of Google ML Kit-

ML Kit comes with a set of ready-to-use APIs for common mobile use cases: recognizing text, detecting faces, identifying landmarks, scanning barcodes, labeling images, and identifying the language of text. Simply pass in data to the ML Kit library and it gives you the information you need.

12.Theanois a Python library that allows us to evaluate mathematical operations including multi-dimensional arrays so efficiently. It is mostly used in building Deep Learning Projects. It works a way more faster on Graphics Processing Unit (GPU) rather than on CPU. Theano attains high speeds that gives a tough competition to C implementations for problems involving large amounts of data. It can take advantage of GPUs which makes it perform better than C on a CPU by considerable orders of magnitude under some certain circumstances.
It knows how to take structures and convert them into very efficient code that uses numpy and some native libraries. It is mainly designed to handle the types of computation required for large neural network algorithms used in Deep Learning. That is why, it is a very popular library in the field of Deep Learning.Jasper.

13.Murf : Murf, also known as Murf.ai, is an AI-powered SaaS tool enabling users to generate human-like voiceovers for many different purposes. The Murf Studio application allows users to create voiceovers from more than 120 text-to-speech voices in more than 20 different languages. The platform offers smart pronunciation using IPA, voice customizations, and voice cloning. The solution also allows users to upload their videos or images to make it easier to sync with the voiceover and find a nice piece of music that suits the content. Murf’s capabilities in generating really natural-sounding voices made it one of the most popular solutions online. In simplest terms, Murf makes voiceover production, which is a time-consuming, expensive, and complicated process, as simple as copying and pasting the text and clicking a few buttons.

14.Fireflies: Fireflies captures video + audio, and generates transcripts in minutes. Integrates with apps like Google Meet, Zoom, Ringcentral, Aircall and other platforms.

Fireflies is an AI voice assistant that helps transcribe, summarize take notes, and complete actions during meetings.

15. Jasper: Launched in February 2021, Jasper is an AI content platform that helps creators and companies of all types expand their creative potential. Over 105,000 active customers are using Jasper to break through writer’s block, repackage their content, create original art, and adjust writing for language and tone.

Conclusion, AI technology is rapidly changing the way businesses operate, providing powerful tools for automating processes, improving efficiency, and making better decisions. The 15 AI tools listed above represent just a small sample of the many tools available to businesses today. As AI technology continues.

What is Quantum Computing |How does it work and its Future uses?

What is Quantum Computing? How it works and its benefits?

Quantum Computing is a technology of computer science that focused on the development of technologies which is based on the principle of quantum theory.

Quantum computing is a type of computing that uses the principles of quantum mechanics to process information. In classical computing, the information is processed in binary digits (bits) that are either a 0 or a 1. However, in quantum computing, the information is processed using quantum bits (qubits) that can be in multiple states at the same time.

What are Qubits?

Quantum bits, or qubits, are the basic unit of information in quantum computing. Sort of like a traditional binary bit in traditional computing. Qubits use superposition to be in multiple states at one time. Binary bits can only represent 0 or 1. However, Qubits can be 0 or 1, as well as any part of 0 and 1 in a superposition of both states.

What is Superposition?

Superposition is a fundamental concept in quantum computing that describes the ability of quantum bits (qubits) to exist in multiple states simultaneously. In classical computing, a bit can only exist in one of two states, either 0 or 1. However, a qubit can exist in a superposition of both states, with a probability distribution that determines the likelihood of each state being observed.

This means that, unlike classical bits which can only represent a single state at a time, qubits can represent multiple states at once. This property of superposition is what gives quantum computers the potential to perform certain calculations exponentially faster than classical computers, as they can explore multiple solutions to a problem simultaneously.

The concept of superposition can be visualized using the famous example of Schrödinger’s cat, which is a thought experiment that illustrates the idea of a quantum object being in a superposition of states. In this example, a cat is placed in a closed box with a vial of poison that will be released if a radioactive atom decays. According to quantum mechanics, the radioactive atom can exist in a superposition of both decayed and non-decayed states until it is observed, at which point it collapses into a single state. As a result, until the box is opened and the cat is observed, it exists in a superposition of both alive and dead states.

Another important concept in quantum computing is Entanglement, which is a phenomenon where two or more qubits become linked in such a way that their states are dependent on each other. This allows quantum computers to perform certain types of calculations much faster than traditional computers.

What is Entanglement?

Quantum particles are able to correspond measurements with one another, and when they are engaged in this state, it’s called entanglement. During entanglement, measurements from one qubit can be used to reach conclusions about other units. Entanglement helps quantum computers solve big problems and calculate bigger stores of data and information.

What is the use of Quantum Computing?

It allows quantum computers to perform certain types of calculations much faster than classical computing, especially when dealing with a large amount of data. For example, quantum computers can factor a large number much faster than a classical computer which is very important for encryption.
Quantum computing is a rapidly growing technology that can harness the laws of quantum mechanics to solve complex problems that are difficult to solve for classical computers.

How Quantum Computing useful for optimization problems?

It can perform operations on a combination of all possible solutions. It divides the intractable complexity into bits to calculate simple solutions.

How could quantum computing benefit the financial services industry?

Quantum computers are expected to be able to break many of the encryption algorithms currently used to protect financial transactions. It could lead to the development of new, quantum-resistant encryption methods, which would help to ensure the security of online financial transactions.

What is the benefit of interference in quantum computing?

 It will allow for the encryption of data within large databases. The main advantage of quantum computing is the ability to handle complex problem-solving. By harnessing the quantum property of superposition, qubits can exist in an infinite yet contained number of states: 0, 1, or any combination of the two.

Which technology is making quantum computing easier to access and adopt?

It uses the qubit technology as the basic unit of information rather than the conventional bit. The main characteristic of this alternative system is that it permits the coherent superposition of 1 and 0, the digits of the binary system around which all computing revolves.

Which technology will quantum computing impact most significantly?

It will impact Artificial Intelligence most significantly. Quantum computing could have massive impacts on the tech industry and the world. One of the Biggest impacts will be in the world of cybersecurity.

How will quantum computing affect artificial intelligence (AI) applications?

Today’s artificial intelligence (AI) systems are only as good as the data they’re trained on. The AI industry is currently taking the advantage of large datasets to train AI models and make them more useful. However, as these datasets will become limited, researchers are exploring other ways to improve AI algorithms. One such way is a quantum computer. It is a new frontier of computer science that will help in finding better AI algorithms in a short period of time because of its most powerful technology.

How does quantum computing works?

A classical processor uses bits to perform its operations. A quantum computer uses qubits to run multidimensional quantum algorithms. Quantum computing takes advantage of how quantum matter work, whereas classical computing uses binary bits 1s and 0s. However, quantum computing uses 1s, 0s, and a1 and a0 simultaneously.

A quantum computer uses qubits to run multidimensional “quantum algorithms”, “quantum simulation”, etc. Their processing power increases exponentially as qubits are added.

Quantum computers process information in a fundamentally different way than classical computers. Traditional computers operate on binary bits while quantum computers transmit information via qubits. The qubit’s ability to remain in superposition is the heart of the quantum’s potential for exponentially greater computational power.

Quantum computers utilize a variety of algorithms to conduct measurements and observations. These algorithms are input by a user, the computer then creates a multidimensional space where patterns and individual data points are housed. For example, if a user wants to solve a protein folding problem to discover the least amount of energy to use, the quantum computer would measure the combinations of folds; this combination is the answer to the problem.

Why Quantum Computing is Important?

Quantum computers may have the potential to uproot some of our current systems. The cryptosystem known as RSA (Rivest-Shamir-Adelman) provides the safety structure for a host of privacy and communication protocols, from email to internet retail transactions. Current standards rely on the fact that no one has the computing power to test every possible way to de-scramble your data once encrypted, but a mature quantum computer could try every option within a matter of hours.

Future of quantum computing?

Quantum computing is a rapidly evolving field & it’s still in its early stages. However, it has the potential to revolutionize many areas of science and technology, including cryptography, drug discovery, machine learning, and artificial intelligence.

What is ChatGPT-4:Everything you should know about GPT-4|New Features|How To Use it? and MORE

What is ChatGPT-4?Feature Image of GPT-4

ChatGPT-4 is OpenAI’s Most powerful and advanced system that produces safer and more useful responses like text, image, and audio. ChatGPT-4 can solve difficult problems with greater accuracy, with the help of its broad general knowledge and problem-solving abilities. It is more creative, can generate, edit, and iterates with users on creative and technical writing tasks like composing songs ,writing screenplays scripts, or learning users’ writing style.

ChatGPT-4 can accept images as inputs and can generate captions, classifications, and analysis. It is capable of handling over 25,000 words of text allowing for use cases like long forms content creation. GPT-4 is available on ChatGPT Plus.

What does ChatGPT stand for?

ChatGPT stands for Chat Generative Pre-training Transformer AI chatbot of OpenAI that allows user to ask it questions using conversational or natural language .

Can i use ChatGPT for free?

Yes, You can use ChatGPT’s free version only which is ChatGPT-3. But you can not use its Paid version which is “ChatGPT Plus” ,You need to pay for the Plus version. It will give you more advanced features to use.

How much does a ChatGPT subscription cost?

The ChatGPT Plus subscription has been priced at $20 per month in India, which is roughly ₹1,650 per month.

Is ChatGPT plus available in India?

Yes, It is available in 161 countries including India.

What technologies are used in ChatGPT?

GPT-4 families of large language models (LLMs) have been fine-tuned (an approach to transfer learning) using supervised and reinforcement learning techniques. A chatbot is a computer program that uses artificial intelligence (AI) and natural language processing (NLP) to understand customer questions and automate responses to them, simulating human conversation.

What are the main features of ChatGPT-4?

  • Improved speed and efficiency.
  • Ability to handle text and images.
  • Greater computational power and capacity.
  • Improved support for multiple languages.
  • Enhanced abilities in text summarization.
  • Enhanced abilities in problem-solving and reasoning.
  • Ability to understand and interpret complex scientific and technical language.
  • Ability to provide personalized and tailored responses based on user history and preferences.

What are the benefits of ChatGPT plus?

  • Priority access to new features.
  • Available even demand is high.
  • Faster response speed.
  • GPT-4 access. 
  • Higher usage limits.
  • Customer Supports.

Which is better Google Bard or ChatGPT?

The main difference is that Bard can draw its responses from the internet, Pulling real-time data from the internet while ChatGPT does not provide it. Bard can summarize a book that was published in 2023 and comment on its public and critical reception.

Will ChatGPT replace the Google search engine?

ChatGPT is a powerful language model with the ability to generate human-like responses, it is not yet capable of replacing Google.

What is the chatGPT’s future?

Improving its language generation and making it more accessible and user-friendly for various applications. As AI advances, ChatGPT may be integrated into products like virtual assistants and customer service chatbots.

How do I buy ChatGPT Plus?

1: Visit official website  https://chat.openai.com and create account.

2: Log in to your account.

3: Click on the ‘ Upgrade to Plus ’ option appearing at the bottom left.

4: Continue to upgrade the plan under ChatGPT Plus.

5: Complete your payment details and billing process and proceed to subscribe.

For more information about ChatGPT Plus click on the link below :


Google Bard?|Google Bard can write, debug, and explain code just like ChatGPT|Bard vs ChatGPT?

Google is launching its own Artificial Intelligence (AI) chatbot called Google Bard.

Google Bard is Google’s experimental, conversational, responsive AI-Powered chatbot service. It will function exactly like ChatGPT, with the biggest difference being that Google’s service Bard will pull all its information from the web.

Google Bard is similar to OpenAI’s ChatGPT, This is the latest AI-powered chatbot that can respond to various queries and requests in a conversational manner. It generates high-quality responses based on inputs provided by users.
Currently, it is not available for use, Google CEO Sundar Pichai states that they are testing their Google Bard Ai with a small set of trusted testers. They have decided to use the Bard AI for getting conversational responses. It will release in 2023. It will integrated into Google Search and It could be accessible through google’s search bar.

You should know that the Google Bard AI release date is expected in 2023. Now, Only selected users are allow to use the Beta Version of Bard through Google Search Engine.

What is LaMDA?

A Google Bard is the experimental technology, based on LaMDA (Language Model for Dialogue Applications), Google’s language model built on Transformer, a neural network architecture.

Google Bard has been released with a lightweight model version of LaMDA that utilizes significantly less computing power, allowing scalability to more users and gaining more feedback that is intended to be combined with Google’s internal testing.

LaMDA is essentially a statistical method that can predict the following words in a series based on the previous ones. This allows the conversation to flow freely from one topic to another. It utilizes concepts like multimodal user intent, reinforcement learning, and suggestions.

How to use Google Bard AI?

To be able to use Google Bard, you had to be chosen among the chosen group of beta testers. If you were chosen, you can open the Google app on a smart device, tap on the chatbot icon, and simply enter your prompt or request.

This is the point where the conversation starts, and you can start asking your questions or making requests. Currently, Google is no longer accepting applications to join the Beta Testing group.

Features of Google Bard AI

Although chatbots cannot exactly hold conversations like humans, they notoriously appear to do so by generating a wide range of digital text that can be repurposed in nearly any context. Google’s chatbot strives to achieve that with almost any topic thrown it’s way by the users

  • Seeking to showcase the combination of power, intelligence, and creativity
  • Collecting information from user responses and the web
  • Using a lite model version of the LaMDA for initial testing purposes
  • Collecting feedback to improve the AI ​​system in the future

Google has a long history of using AI to improve search for billions, and now, their newest AI technologies are building on this and developing entirely new ways to engage with information, whether it’s language, images, video, or audio.

Scope of AI with Google Bard

Today’s AI offers more opportunities to deepen our understanding of information and efficiently transform it into useful knowledge. This making it convenient for people to find what they’re looking for quickly. AI is helpful in moments that require the synthesis of insights for questions that have no one correct answer.

Soon, AI-powered features in Search will be able to resolve complex information and various perspectives into quick and easily digestible formats. Google Search plans to roll out these new AI features soon.

Over time, Google also intends to develop a suite of tools and APIs to help build more innovative applications with AI. These advancements could prove crucial to startups who want to build reliable and trustworthy AI systems.

Google Bard AI vs ChatGPT ?

  • Google Bard AI will be able to answer real-time questions. ChatGPT responses are based on data available till 2021.
  • Google Bard AI requires a minor integration with the Google settings to get regular search results, while ChatGPT returns only text responses.
  • Google Bard is based on LaMDA, whereas ChatGPT is based on GPT.
  • ChatGPT has its plagiarism detector (AI Text Classifier), a feature not yet available for Google Bard.
  • Google Bard AI is completely free for now, whereas ChatGPT Plus is available at paid plan.

Chatbots like ChatGPT and LaMDA are more expensive to operate than typical software. Bard is the “lighter” version of LaMDA allows you to run at a lower cost.

When is the Google Bard released Date?

Google Bard was initially announced on Feb. 6, 2023, Now google Bard will be launched in 21st March 2023 according to Sundar Pichai.

What is BharOS?|Indigenous mobile operating system.

Bhar Os

BharOS(Bharat Operating System) India’s indigenous mobile operating system by IIT Madras.
BharOS is Founded by J&K Operations Private Limited,IIT Madras.
It’s luanched by IIT Madras on dated of 24 January 2023 of it’s initial release.
BharOs is a Free and Open Source Android Project and it is developed by The Indian Institute of Technology Madras(IIT Madras).
The BharOS project aims to reduce the dependence on foreign operating systems in smartphones and promote the use of locally developed technology.
It is a new mobile operating system with a focus on privacy and security of indians.

BharOS is based on the Linux kernel, BharOS is an operating system, which is quite similar to Google’s Android.

Is BharOS open source?

BharOS is a mobile operating system designed by IIT Madras and Yes ,It is an Indian government-funded project to develop a free and open-source operating system (OS) for use in government and public systems.It will be available for all indian users for free.

Is BharOS is better than Android?

BharOS is also based on Linux Kernel ,it is similar to Google’s Android but with few changes like it does not come with preloaded applications. BharOS gives flexibility to choose apps that they want rather than forcing them to use any app.

What are the benefits of BharOS?
source: Youtube Ashwini Vaishnaw.

BharOS developers claim that the BharOS is better than Google’s Android and Apple’s ios in terms of features and security. They also claim that BharOS could even improve the battery life of mobile phones. This will also allow users to install apps of their interest and will ship with an India-based app store.

What is ChatGPT?|How to use It?what it is used for?| Here’s what you need to know about ChatGPT?

ChatGPT is Natural Language Processing (NLP) tool that uses advanced machine learning techniques to generate human-like designed text. It is a variant of the GPT (Generative Pre-trained Transformer) language model specially designed for chatbots.

ChatGPT is a chatbot it was launched by OpenAI, in November 2022. It is an artificial intelligence research and deployment company.

This ChatGPT AI is a machine learning model that has been trained on a large dataset of conversational exchanges and can generate responses to the text input in a way that is similar to how a human might respond in a conversation. This model is developed by OpenAI, which has been widely recognised business development as a state-of-the-art approach for generating text. It is a highly popular AI-based program that people use for generating codes.
The chatbot is a language-based model that the developer fine-tunes for human interaction in a conversational manner.
It is a simulated chatbot primarily designed business development by OpenAI for customer service. People use it for various other purposes for their bussiness developement and business growth.

Is ChatGPT GOT down?

If you have recently tried to access ChatGPT chatbot, you might have noticed it is down. Many people are trying to access the ChatGPT website. Because of lots of traffic coming to ChatGPT website it shows an error of loading website. Everyone is trying to access it and use it, because of this problem ChatGPT website is down now.

Why ChatGPT is not opening?

ChatGPT is not opening right now because huge traffic is coming to their website on daily basis. Many peoples are trying to access the ChatGPT chatbot and want to see how it works so because of this reason the website of ChatGPT is not opening in some cases. If you have a good internet connection then you may not face this problem. You can open it and also you can use it once you registered on their website.

Who has invested in ChatGPT?

Microsoft confirms they are investing billions in the creator of ChatGPT(chatbot) AI tool company.Microsoft confirmed, they are making a multibillion dollar investment in OpenAI, the company behind the viral new AI chatbot tool called ChatGPT. Microsoft has announced a deepening of its partnership with the OpenAi company and Investing million dollar in ChatGPT AI chatbot tool.

Did Microsoft invest in Chat GPT?

Microsoft is plan to invest $10 billion in a creator of ChatGPT AI tool company called OpenAi, They are set to invest 10 billion dollar in OpenAI as funding that would value the company at $29 billion ,as some News site reported. Microsoft will get a 75% shares of OpenAI company’s profits until it makes back the money on its investment, after which the company would assume a 49% stake in OpenAI as reported.Microsoft take big bet on ChatGPT could help Microsoft boost its efforts in web search.

How do I use ChatGPT?
  • Visit Openai.com ChatGPT’s website.
  • Look for Try ChatGPT.
  • Login or Sign Up using Google or Microsoft account.
  • Enter your name to continue.
  • Tap on New Chat on the top left corner.
  • A conversation thread will appear, be ready with your questions and prompts.
  • Anything you wants to get as a output you should provide input given to the ChatGPT chatbot it will mimic actions on the basis of input provided and serves the relevant output
What Can ChatGPT and OpenAI do?

Basically, ChatGPT is chatbot tool which run on the principle of Artificial Inteligence (AI) programs and it is developed by OpenAi company for doing many things like generate codes, mimic human action and convert it and generate output.

It is a large language model developed by OpenAI. It is trained on a vast corpus of text data using a deep learning algorithm, which enables it to understand natural language and generate human-like responses to various queries and prompts.

It’s architecture is based on a transformer model, which allows it to process sequences of text with high accuracy and speed. It is capable of performing a wide range of natural language processing (NLP) tasks, including language translation, summarization, question-answering, and conversational dialogue.

ChatGPT’s training data includes a diverse range of text sources, such as books, articles, websites, and other online content. As a result, It has a broad knowledge base and can provide information on a wide variety of topics.

It’s primary goal is to help users communicate and find information more effectively, whether it’s answering questions, providing advice, or just engaging in casual conversation.

Is ChatGPT free?

The tool will remain free for the general public, however. Company will continue to offer free access to ChatGPT, the company said in a blog post.Users will still be able to access the chatbot for free but those who pay a monthly subscription for “ChatGPT Plus” will have priority at any times and they can access extra new premium features which company offers for paid users only.