Concepts and examples on using and training LLMs
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Updated
May 25, 2024 - Jupyter Notebook
Concepts and examples on using and training LLMs
A full pipeline to finetune Vicuna LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Vicuna architecture. Basically ChatGPT but with Vicuna
A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM
[Work In Progress] Server/Cloud-ready FastChat Docker images.
KATI-LLAMA is an AI desktop chat application using Large Language Models. It supports voice and visual emotion feedback of the AI. The goal of the development goes in the direction of J.A.R.V.I.S or HAL 9000. I imagine an application that is uncomplicated to set up and does not cost anything. Just download, launch and use.
This is the repo for Vicuna Chemical Expert, which can help to solve some chemical questions.
fastchat/Integrate Langchain/Create Private Knowledge Base
Node-RED Flow (and web page example) for the Vicuna AI model
A speech-to-speech talking bot (in development)
Vicuna 7B is a large language model that runs in the browser. Exposes programmatic access with minimal configuration.
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