large language models

Use fully dynamic LLM agent networks to handle more ambiguous and difficult prompts than individual LLMs or fixed LLM agent networks can handle on their own.

Deep Learning for Vision and Language.

Rice University, Spring 2024.

Fork of Rubrix for natural language processing machine learning dataset labeling and RLHF (reinforcement learning human feedback) and active learning. Original license was Apache 2.0 which allows Argilla.io to modify the software without sharing it with the community.

A simple (WIP) GUI for chatting with llama via few-shot prompts!