All of us by now must have heard about Open AI & Chat GPT
"Chat GPT" is not a specific term or technology, but it is likely referring to the use of OpenAI's GPT (Generative Pre-trained Transformer) models for conversational purposes. The GPT models are language models developed by OpenAI, which use deep learning techniques to generate human-like text. These models have been used in a variety of natural language processing (NLP) tasks, including language translation, text completion, and question-answering.
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In the context of chat, GPT models can be used to generate responses to user input, essentially mimicking a conversation with a human. Chatbots or virtual assistants are often built using GPT models, allowing them to respond to users' questions or comments in a natural language. The goal is to create an experience that feels as close to interacting with a human as possible, while also providing fast and accurate responses.
They created GPT-4, the most capable model. starting to roll it out to API users today.
Here is the official link for live demo of GPT-4. |
About GPT-4 GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and advanced reasoning capabilities.
You can learn more through: - Overview page of GPT-4 and what early customers have built on top of the model.
- Blog post with details on the model’s capabilities and limitations, including eval results.
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Availability - API Waitlist: Please sign up for our waitlist to get rate-limited access to the GPT-4 API – which uses the same ChatCompletions API as gpt-3.5-turbo. We’ll start inviting some developers today, and scale up availability and rate limits gradually to balance capacity with demand.
- Priority Access: Developers can get prioritized API access to GPT-4 for contributing model evaluations to OpenAI Evals that get merged, which will help us improve the model for everyone.
- ChatGPT Plus: ChatGPT Plus subscribers will get GPT-4 access on chat.openai.com with a dynamically adjusted usage cap. We expect to be severely capacity constrained, so the usage cap will depend on demand and system performance. API access will still be through the waitlist.
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API Pricing gpt-4 with an 8K context window (about 13 pages of text) will cost $0.03 per 1K prompt tokens, and $0.06 per 1K completion tokens.
gpt-4-32k with a 32K context window (about 52 pages of text) will cost $0.06 per 1K prompt tokens, and $0.12 per 1K completion tokens.
To use a chatbot or virtual assistant built with GPT technology, you typically interact with it through a messaging interface, either through a website or a messaging app. Here are some general steps on how to use a GPT-based chatbot: - Go to the website or open the messaging app where the chatbot is available.
- Look for the chatbot interface, which is usually located at the bottom of the screen or in a chat window.
- Type in a question or message that you would like the chatbot to respond to. The chatbot will use its GPT technology to generate a response that is appropriate to your query.
- Read the response generated by the chatbot and see if it answers your question or provides the information you need.
- If you need further assistance or have another question, type in another message and repeat the process.
It is important to note that the quality and accuracy of the chatbot's responses can vary depending on its programming and the complexity of your query. Additionally, GPT-based chatbots are not capable of understanding or responding to all types of queries, so it is possible that the chatbot may not be able to provide a satisfactory answer in some cases.
GPT-based chatbots can be helpful in a variety of ways, depending on their programming and the context in which they are used. Here are some examples: Customer support: Many companies use chatbots powered by GPT technology to provide automated customer support. Chatbots can answer frequently asked questions, help customers troubleshoot technical issues, and provide other types of assistance. Information retrieval: Chatbots can help you find information quickly and easily. For example, you can ask a chatbot to provide you with the latest news on a particular topic, give you directions to a nearby restaurant, or provide you with product reviews. Personalized recommendations: Some chatbots can use machine learning algorithms to learn about your preferences and make personalized recommendations based on your previous interactions with the chatbot. Language practice: If you are learning a new language, you can use a chatbot to practice your language skills. Chatbots can generate responses in the language you are learning and provide you with feedback on your grammar and vocabulary. Mental health support: Some chatbots are designed to provide mental health support, such as helping users manage anxiety, depression, or other mental health issues. These chatbots can provide coping strategies, self-care tips, and other resources.
Overall, chatbots powered by GPT technology can be useful tools for automating tasks, providing information and support, and enhancing communication and engagement. |
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