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.

Transcript

so in this video we're going to be talking about the new chat GPT API open AI just announced the public beta of the underlying model that runs chat gbt the name of the model is gpt35 Turbo I'm going to do a quick walk through the new API and then I'll show you how we can use the API to build a simple python web app powered by the chat gpk model the... Read More

Key Insights

• 🚀 OpenAI announced the public beta of the chat GPT API, which is powered by the GPT 3.5 Turbo model.
• 📲 The new API requires updating the openai python Library to the latest version, which can be done through force install if pip install doesn't work.
• 🔍 The chat GPT model uses a different API call than before and requires a specially formatted conversation history.
• 🗒️ The model has no memory of previous questions, so each question and API call are treated as a new conversation.
• 💡 To simulate memory, the entire conversation history is sent to the API with each new question, providing context for the model's responses.
• 🕐 The API has a maximum token limit of 4096, meaning earlier parts of the conversation need to be pruned to avoid error messages.
• 👏 The API allows customization of parameters like temperature and max tokens to control the response's creativity and length.
• 🖥️ The provided example demonstrates how to build a simple Python web app using the chat GPT model, providing an interactive chat box interface for users.

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.