How to Customize ChatGPT OpenAI Assistants Using Threads and Runs

Published: 28 December 2023
on channel: Cobalt Intelligence
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Enhanced business operations are just an AI away. But why do businesses fail to use AI effectively? Because they do not know how to customize AI features according to their own needs and goals.

Not many people have been making use of OpenAI Assistants and using chat completions. There are a lot of unique use cases only possible with the assistants API and I would like to share the process how to create one of them.

This video explains the role of an OpenAI Assistant powered by GPT, comparing it to the GPT itself. This part will be particularly useful in understanding how such customized assistants can help in web browsing, code interpretation, and user interaction – key aspects for automating and improving efficiency in your business.

Key Terms:

Assistants in OpenAI can be viewed as a GPT where users can communicate with the API. Assistants can be created either via the API or manually and can be interacted with using natural language.

Threads in OpenAI are associated with each conversation and each of them starts with a message.

Runs in OpenAI represent processing of messages and they are initiated each time a new message is provided.Runs provide the status of the processing and they need to be checked to ensure if the process is completed.


Key Highlights of this video:

Understanding OpenAI's GPT and AI Assistants: Discover the differences and how they complement each other in business automation.
Building Your AI Assistant: Step-by-step guidance on creating and configuring your AI assistant using Node.js.
Deep Dive into Threads, Messages, and Runs: Learn how these elements work together to enable seamless AI-user interactions.
Practical Coding Demonstrations: Follow along with real code examples to understand the mechanics of AI assistants.
Changing Assistant IDs per Run: Explore the advanced functionality and flexibility of AI assistants in different contexts.
Applications in Finance and Underwriting: Gain insights on leveraging AI for efficiency in the financial sector.

00:00 - Intro
OpenAI and creation of GPTs
Jordan Hansen introduces himself and his focus on AI and automation in alternative finance
Goal: Help developers build out automations to improve businesses

01:09 - Overview of Assistance
Definition and purpose of an assistant in the context of GPT
Comparison between building an assistant and a GPT
How assistants can browse the web, interpret code, and interact naturally with users

01:38 - Creating and Using an Assistant
High-level explanation of assistant creation via API and GUI
Example: Creating an assistant named Frank to teach and answer questions
Starting a thread to communicate with the assistant

02:16 - Understanding Threads and Messages
Creating a thread and adding messages to it
Clarification on the roles "assistant" and "user" within messages
Processing a "run" to kick off the assistant's interaction

04:41 - The Run Process
Explanation of how a "run" works and what it represents
Retrieving completed runs and evaluating the assistant's responses
Adding new messages and initiating another run

07:50 - Changing Assistant IDs per Run
Discussion on the possibility and implications of changing assistant IDs for each run
Assistant's responses tied to specific messages

08:22 - Automating the Assistant Interaction
Best practices for automating the process of running an assistant in a loop

09:58 - Applications
Handling user inputs and responding to them via the assistant in a chat bot scenario
Summary of the process to use AI assistants effectively
Future possibilities with assistants and custom functions
Final thoughts and invitation to reach out for assistance with automations

14:26 - Outro
Call to action: Like, subscribe, and contact for further help
Overview of the usefulness of automations in various business processes

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