Getting started with the NEW OpenAI ChatGPT API (gpt-3.5-turbo) | Summary and Q&A

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March 2, 2023
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Getting started with the NEW OpenAI ChatGPT API (gpt-3.5-turbo)

TL;DR

This video introduces the new GPT-3.5 Turbo Chat API by OpenAI and demonstrates how to build a simple Python web app using the API.

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Questions & Answers

Q: How does the GPT-3.5 Turbo Chat API differ from previous versions?

The GPT-3.5 Turbo Chat API introduces the concept of conversation history, allowing for multi-turn chat-based interactions. Each question and API call represents a new conversation, and the model does not have memory of previous questions.

Q: What is the token limit for the GPT-3.5 Turbo Chat API?

The GPT-3.5 Turbo Chat API has a token limit of 4096. Once the conversation history reaches this limit, it's necessary to truncate or drop parts of the conversation to avoid errors.

Q: Can the GPT-3.5 Turbo Chat API handle different temperature and max tokens settings?

Yes, the API allows users to adjust the temperature parameter to control the randomness of the generated responses. Max tokens can also be set to limit the length of the response.

Q: How can the GPT-3.5 Turbo Chat API be integrated into a Python web app?

The video demonstrates how to build a simple Python web app using the Flask framework. It provides an example code and shows how to create an interactive chat box powered by the API.

Summary & Key Takeaways

  • OpenAI has released the GPT-3.5 Turbo Chat API for public beta, allowing users to generate chat-based responses using the model.

  • The new API requires sending data as a conversation history, simulating memory for the model.

  • The video provides an interactive example and demonstrates how to build a Python web app utilizing the GPT-3.5 Turbo Chat API.

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