Here’s a comparative analysis: Feature ReACT Agents Function Calling Agents Core Concept Combines reasoning and action in a continuous loop. The LLM “thinks” about the problem, decides the steps to be ...

This post is based on my work building efficient and reliable LLM agents for external tool usage. I will start with a brief intro on reasoning and planning with LLMs, and then we will move on to other ...

The chatbot is designed to provide data analysis insights from database based on a predefined schema. It is built using Chainlit and OpenAI's GPT-3.5-turbo-1106 model. The chatbot utilizes OpenAI ...

Comprising an LLM Planner, Task Fetching Unit, and Executor, LLMCompiler outperforms ReAct and OpenAI’s parallel function calling feature in benchmarking, displaying consistent latency speedup and ...