Eugene Yan • 4/9/2023

Experimenting with LLMs to Research, Reflect, and Plan

Read Original

The author details a personal project building various LLM-powered assistants using LangChain. Tools created include a URL summarizer, an ELI5 explainer, SQL query agents, a web search agent for recent data, and a 'board of advisors' that synthesizes advice from tech leaders. The article is a technical exploration of augmenting work with LLMs, discussing implementation challenges and potential.

0 comments
#llm #Langchain #AI Assistant
Experimenting with LLMs to Research, Reflect, and Plan

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
The Beautiful Web
Jens Oliver Meiert • 2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane • 1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg • 1 votes
4
Wagon’s algorithm in Python
John D. Cook • 1 votes
5
An example conversation with Claude Code
Dumm Zeuch • 1 votes