How to build a custom AI Assistants with OpenAI's Assistants API https://platform.openai.com/docs/assistants/overview?context=with-streaming Create a custom AI assistant by OpenAI using Javascript (Nodejs) Working code example on GitHub: https://github.com/hilmanski/assistant-API-openai-nodejs-sample This is a comprehensive tutorial on how to use OpenAI's Assistants API to create custom AI assistants. We'll learn the difference between Assistants API and the chat completion method, where Assistants API can retain conversation context, making it unique for every user. The tutorial includes a step-by-step guide on creating a marketing assistant that remembers user interactions, demonstrates how to generate thread IDs for unique conversations, send messages, and handle responses by running the assistant. The tutorial is geared towards developers seeking to integrate AI-driven conversation capabilities into their applications without relying on predefined chat models like ChatGPT. This way, you also won't need to build your custom LLM or prepare a vector database since the API can already remember the context conversation. 00:00 Introduction to OpenAI's Assistants API 00:36 Understanding Assistants API vs. Chat Completion 01:11 Demo of a Marketing Assistant Example 03:19 Creating and Managing Threads 04:03 Step-by-Step Guide to Creating Your Own Assistant 05:25 Implementing the Code: From Setup to Response Handling 10:47 Demonstrating the Assistant in Action 12:34 Conclusion and Final Thoughts
How to build a custom AI Assistants with OpenAI's Assistants API https://platform.openai.com/docs/assistants/overview?context=with-streaming Create a custom AI assistant by OpenAI using Javascript (Nodejs) Working code example on GitHub: https://github.com/hilmanski/assistant-API-openai-nodejs-sample This is a comprehensive tutorial on how to use OpenAI's Assistants API to create custom AI assistants. We'll learn the difference between Assistants API and the chat completion method, where Assistants API can retain conversation context, making it unique for every user. The tutorial includes a step-by-step guide on creating a marketing assistant that remembers user interactions, demonstrates how to generate thread IDs for unique conversations, send messages, and handle responses by running the assistant. The tutorial is geared towards developers seeking to integrate AI-driven conversation capabilities into their applications without relying on predefined chat models like ChatGPT. This way, you also won't need to build your custom LLM or prepare a vector database since the API can already remember the context conversation. 00:00 Introduction to OpenAI's Assistants API 00:36 Understanding Assistants API vs. Chat Completion 01:11 Demo of a Marketing Assistant Example 03:19 Creating and Managing Threads 04:03 Step-by-Step Guide to Creating Your Own Assistant 05:25 Implementing the Code: From Setup to Response Handling 10:47 Demonstrating the Assistant in Action 12:34 Conclusion and Final Thoughts