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What is ChatGPT?

ChatGPT is a pre-trained language model developed by OpenAI. It is a transformer-based neural network that uses unsupervised learning to generate human-like text. The model is trained on a massive dataset of conversational text, making it capable of understanding and responding to a wide range of topics and questions.

The name ChatGPT is an acronym for “Conversational Generative Pre-training Transformer” which emphasizes the model’s ability to understand and generate text that is appropriate for conversation. It was trained on the internet’s largest conversational dataset, the “Conversational Pre-training Corpus” (CPC), which contains over 570GB of text data, including a diverse set of conversations, dialogue, and question-answer pairs. As a result, ChatGPT can respond to prompts in a conversational, contextually-aware and human-like manner.

The model architecture of ChatGPT is based on the transformer architecture. The architecture was introduced in the paper “Attention Is All You Need” by Vaswani et al. (2017). The transformer architecture is a type of neural network that uses self-attention mechanisms to process input data. This allows the model to weigh different parts of the input data differently, depending on their relevance to the task at hand.

ChatGPT uses a transformer-based architecture with 175 billion parameters, that makes it one of the largest language models available. This large number of parameters allows the model to understand and generate text with high accuracy, although it requires a powerful machine to run and fine-tune the model.

One of the key features of ChatGPT is its ability to generate text that is coherent, contextually appropriate, and grammatically correct. This makes it suitable for a variety of natural language processing (NLP) tasks such as text generation, question answering, and conversation simulation. Also, the model can be fine-tuned for specific tasks or domains, allowing it to understand and generate text that is specific to a particular industry, such as legal, medical, or technical language.

ChatGPT Versions and History

There are several versions of ChatGPT that have been released by OpenAI, each with varying levels of performance and abilities. The main versions of ChatGPT include:

• ChatGPT: This is the original version of the model that was introduced in December 2019. It is a transformer-based neural network with 175 billion parameters. This version of the model can be fine-tuned for a wide range of NLP tasks, including text generation, question answering, and conversation simulation.
• ChatGPT-2: This version of the model was released in June 2020 and has 1.5 terabytes of parameters. ChatGPT-2 was trained on a much larger dataset than the original model, which makes it more accurate and contextually aware. Additionally, this version was fine-tuned to perform better on question-answering tasks.
• ChatGPT-3: The third version of the model, released in June 2020, has 175 billion parameters and is considered the most powerful and versatile language model. It has been fine-tuned to perform better on specific tasks, such as language translation, summarization, and sentiment analysis. Additionally, it has been fine-tuned for specific domains, such as legal, medical, or technical language.
• ChatGPT-3 fine-tuned: It is a version of the model that has been fine-tuned to perform specific tasks or in specific industries, such as customer service, writing, or storytelling.
• ChatGPT-3X: This version of the model is even larger than the original ChatGPT-3, with a capacity of up to 11 terabytes of parameters. This version is even more powerful and versatile than the original ChatGPT-3 and can perform even more complex tasks.

OpenAI has released several versions of ChatGPT, each with varying levels of performance and abilities. The main versions of the model include ChatGPT, ChatGPT-2, ChatGPT-3 and ChatGPT-3 fine-tuned, and ChatGPT-3X. Each version has been fine-tuned to perform better on specific tasks or in specific industries, making it an even more powerful and versatile tool for the NLP community.

Applications and Uses of ChatGPT

• Unsupervised learning: ChatGPT is trained on a massive dataset of conversational text using unsupervised learning, which means it can understand and respond to a wide range of topics and questions.
• Coherent and contextually appropriate text generation: ChatGPT is generates text that is coherent, contextually appropriate, and grammatically correct, making it suitable for a variety of NLP tasks such as text generation, question answering, and conversation simulation.
• Fine-tuning capability: The model can be fine-tuned for specific tasks or domains, such as language translation, summarization, sentiment analysis or specific industries, such as legal, medical, or technical language.
• Large capacity: The model has a large number of parameters, which allows it to understand and generate text with high accuracy.
• Question answering ability: ChatGPT is trained on a massive dataset of conversational text and it’s fine-tuned to perform better on question answering tasks, which makes it suitable for answering questions that require understanding of context and background knowledge.
• Conversation simulation: ChatGPT can simulate a conversation between two or more people. This can be used for chatbots, virtual assistants, and other applications that involve human-like conversation. The model can be fine-tuned to simulate specific characters or personalities.
• Language Translation: ChatGPT-3 can be fine-tuned to perform language translation tasks.
• Summarization: ChatGPT-3 can be fine-tuned to perform summarization tasks.
• Sentiment Analysis: ChatGPT-3 can be fine-tuned to perform sentiment analysis tasks.

Where ChatGPT is still lacking? Weaknesses of ChatGPT

• Lack of understanding and reasoning ability: ChatGPT, like most language models, is not able to understand and reason about the world in the same way that humans can. It has difficulty with tasks that require common sense knowledge or understanding of context.
• Lack of originality: ChatGPT is not able to generate completely original responses, but instead generates responses based on patterns it has seen in the training data. This can make it less flexible and less able to handle novel situations.
• Bias: ChatGPT can be biased towards the training data, which can lead to biased or unfair responses.
• Lack of focus: ChatGPT can sometimes generate overly verbose or irrelevant responses, as it does not have a built-in mechanism to focus on the most important information.
• Lack of self-awareness: ChatGPT does not have self-awareness and does not know when it does not understand or does not know about something.

How to use ChatGPT for free?

There are a few ways to use ChatGPT for free on your browser, although the model might not be as powerful as the one that OpenAI provides:

• OpenAI Playground: OpenAI has a free web-based tool called the OpenAI Playground, which allows you to input text and generate responses using a smaller version of ChatGPT.

The OpenAI Playground is a free web-based tool that allows you to input text and generate responses using a smaller version of ChatGPT. Here are the steps to use it:

1. Go to the OpenAI Playground website: You can access the OpenAI Playground by visiting the OpenAI website and clicking on the “Playground” button.
2. Sign in: You will need to sign in with your OpenAI account to use the Playground.
3. Input text: Once you are signed in, you can input text into the text box in the “Prompt” section of the page. This text will serve as the input for ChatGPT to generate a response.
4. Select the model: You can select the version of GPT you want to use from the “Model” dropdown menu.
5. Generate text: Once you have input your text and selected the model, you can click the “Complete” button to generate a response from ChatGPT.
6. Review and edit the response: You can review the generated response and make any necessary edits. You can also adjust the temperature which will make the output more or less conservative
7. Repeat the process: You can input more text and generate more responses as many times as you want.

OpenAI Playground is a free service and it’s usage is limited, also the performance might not be as good as the original OpenAI API.

• Hugging Face: Hugging Face is a company that provides a web-based interface to use pre-trained models including GPT-3, you can input text and generate responses using their web-based interface, but keep in mind that the usage is limited.
• GitHub: There are some open-source implementation of GPT-2 and GPT-3 on Github that you can use, but you will need to have some knowledge of programming, and the performance might not be as good as the original model.
• Colab: You can use Google Colab which is a free platform for machine learning, you can use the pre-trained models or fine-tune them on your own data.
• Custom fine-tuning: You can also fine-tune a smaller version of GPT-3 on your own computer using the Hugging Face transformers library, but this process requires a lot of computational power and data, and the performance might not be as good as the original model.

These alternatives might not have the same performance as the OpenAI’s API version, but they’re a good starting point to experiment and learn more about GPT-3

Steps to use ChatGPT with the OpenAI API

1. Sign up for an OpenAI API key: You will need an OpenAI API key to access the API and use ChatGPT. You can sign up for a key on the OpenAI website.

1. Test the API: Once you have your API key, you can test the API by making a simple request to the endpoint. You can use a tool like Postman or curl to make the request.
2. Build your application: Once you have tested the API, you can start building your application. You will need to use a programming language like Python or JavaScript to interact with the API.
3. Format your request: You will need to format your request to the API in a specific way, including the input text, the model to use, and any other parameters.
4. Send the request: Once your request is formatted, you can send it to the API and receive the response, which will be the generated text from ChatGPT.
5. Use the generated text: Once you have the generated text, you can use it in your application. For example, you can display it on a website, save it to a database, or use it for further processing.

A really good tutorial to do it using postman and python is given here

To use OpenAI API you need to have a credit card and pay for the usage. Also, it’s important to read and agree with the OpenAI API terms of service and use policy.

Steps to use ChatGPT on your browser with a screenshot

• To use ChatGPT, first, go to the official website.

• On the homepage of the website, click on “Try it now” to begin.  
• On the next page, you can enter your query in the chatbox and click ‘Send’.

• Once you enter the query and click ‘Send’, the ChatGPT will respond to your query.

ChatGPT gives credits worth 18$ to use it for free, try it now. It is a wonderful tool and everyone should try it atleast once.

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