Llm

My fifth post on LLMs as Agents. I just it’s a series now.

I spent some time refactoring the Tool Agent code, added some additional mock tools and even some basic benchmarking. For more context, checkout the previous posts:

My exploration of how to use LLMs as Agents continues. In this post, I’m looking at ways to improve the outcomes by using better approaches to planning. For more context, checkout the previous posts:

I’m still exploring how to use LLMs to build agents. In the first post, I described some of the motivation and approach. I started working on two agents:

Large Language Models (LLMs) are powerful tools for generating text, answering questions, and coding. We’ve moved beyond generating content, and LLMs are now being used to take actions as agents — independent entities that can act, use tools, and interact with their environment. You probably already know all of this.