Model Custom LLM Agent Configuration For Idea Refinement

September 22, 2024 ยท View on GitHub

This repository contains an (experimental) model repository of files intended to provide the groundwork for provisioning a custom GPT agent (or another LLM) whose intended purpose is helping the user to iterate through the development of a technological idea.

In my case, I chose my "Output Hub" project (managing GPT outputs at scale) which I've been working on for a few months. As the idea has run into some technical hurdles, I've broadened my thinking to different architectures - and this, I figured, was a perfect use-case for AI-assisted ideation!

The basic structure here is:

  • The ddl.sql is a (real) DDL generated from a model Postgres for my project. Having this as a single saved piece of knowledge saves me from having to refer repetitively to specific tables and relationships in the design
  • agent_config is a versioned folder of configuration texts which are intended to round off the agent's understanding of the idea I'm working on.

My idea and thinking was that together these two files - the database spec and the natural language description - would provide a good amount of context to steer the agent towards highly selective and relevant outputs to help me in this particular task.

Use Case Statement

Author

Daniel Rosehill
(public at danielrosehill dot com)

Licensing

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