Sample code that uses data from FAO stats to build a RAG over LLM
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Updated
Apr 26, 2024 - Python
Sample code that uses data from FAO stats to build a RAG over LLM
Easily build AI workflows using LLM agents in TypeScript
In this solution accelerator, we demonstrate how generative AI, retrieval augmented generation (RAG) and multi stage reasoning can be used to better navigate through the complexities of regulatory filings, bringing more transparency for companies to disclose their societal and environmental impacts.
Welcome to the Falcon 40B Chatbot Demo repository! This project demonstrates how to utilize the Falcon-40B-Instruct model from Hugging Face in combination with the LangChain framework. The code showcases how to set up and interact with the model, while also integrating it into the LangChain library for advanced conversational capabilities.
Bash scripts for in-line CLI review, editing and execution of Bash commands suggested by an LLM in response to a user's requests for assistance.
A discord bot which can call LLMs using either Hugging Face or vLLM on Windows platform. Combined with function calling.
This repository contains a Python script that uses a pre-trained NBART (Neural Bidirectional AutoRegressive Transformer) model to perform multi-lingual translation tasks between several languages. The model was trained on multiple language pairs using data parallelism, allowing it to learn representations across all languages simultaneously.
Agent based modelling of LLMs power actors for thermal comfort
GenesisZERO : potential applications for MCTS agents with LLMs for Sequential decision-making
DocAI is a custom medical agent that can help patients to access medical information more effectively.
LLM experiments with LangChain
ReactJS Chat interface for langchain4j application
Search for, compare, and list Forex Data chat (coming soon)
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