This video takes you through a full demo of how to build a custom GPT app that enables customer service agents to execute tasks using agents just by asking in natural language. To get a copy of the code on google colab notebook, come find and follow me (Lily Cheng) on Linked-in and I'll send it to you!
This a 3 part series to explain and demo how OpenAI's Assistant API works:
- Part 1: Information Retrieval ( • OpenAI Assistants API ... )
- Part 2: Adding Agents with Function Calling ( • OpenAI Assistants API ... )
- Part 3: Code Interpreter with Run Steps walk through ( • OpenAI Assistants API ... )
OpenAI just announced the brand new Assistants API on DevDay and it's so hot, it's taken down the whole chatGPT and API service! Assistant API basically enables you to easily build a custom chatbot on top of the GPT4 LLM that not only knows how to retrieve additional information from files that you upload but can also can take actions (like agent functionality) by being able to call up to 128 functions that you give it. You would've heard about "GPTs" from DevDay - this is the same functionality but exposed via API.
In this video, I will show you how to pass your custom GPT files AND 3 custom agents and demonstrate how it behaves when you send in different user queries.