Hacker News Reader

tianjunzon Autonomous LLM agents with human-out-of-loop

Author of Gorilla Execution Engine (GoEx) here! The key idea behind GoEx: 1. "Post-facto validation" for assessing LLM actions after execution. 2. "Undo" button and “Damage confinement” abstractions to manage unintended actions & risks!

GoEx (code below) inherently supports Gmail/Slack/Dropbox/Spotify/Github, try it out to build your own LLM agents!

Blog: https://gorilla.cs.berkeley.edu/blogs/10_gorilla_exec_engine... Code: https://github.com/ShishirPatil/gorilla/tree/main/goex

tianjunzon If you are using LLM RAG – you should be doing RAFT

This is a three-way collaboration between Berkeley AI, Microsoft Azure, and Meta AI! RAFT involves the concept of domain-specific RAG, which represents a more focused and growingly favored area compared to the broader concept of the general open-book exam. In such exams, the domain in which the LLM will be evaluated is known in advance and used for inference. The LLM is capable of addressing prompts by leveraging any and all information from this particular domain, on which it has been specifically fine-tuned.

Blogs: https://gorilla.cs.berkeley.edu/blogs/9_raft.html

tianjunzon Amazon acquires Fig

Check out this cool research from UC Berkeley!

tianjunzon Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs

Hi HN, I'm one of the authors from Gorilla Project. Gorilla now presents in an CLI interface and you can interact with your laptop in English! Feedbacks and suggestions are very welcome!!

tianjunzon Gorilla: Large Language Model Connected with APIs

We named the project Gorilla cause it is an cute animal that use tools !

tianjunzon Gorilla: Large Language Model Connected with APIs

Hey everyone, I am one of the authors of the Gorilla project. Super excited to see how the project grows! We have released LLaMA based, MPT based (Apache 2.0) and Falcon based (Apache 2.0) models so far. Something cooler is coming soon!