A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
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Updated
Oct 10, 2024 - Python
A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
[ACL 2024] Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.
A conversational UI for chatbots using the llama.cpp server
a Discord chatbot trained on Mistral and LLaVA language models
CodeStral-Code-Assistant is a chatbot designed to assist users with code-related questions. It provides code solutions, including descriptions, programming language details, imports, functional code blocks, and sample input/output.
A versatile CLI and Python wrapper for Mistral AI's 'Mixtral', 'Mistral' and 'NeMo' large language models. Streamline the creation of chatbots and generate dynamic text with ease.
A simple RAG implementation of the Mistral 7B Instruct model on a fully open-source stack.
Building domain knowledge specifically in PDDL from natural language descriptions using LLMs
AI-powered Django-Chat is an innovative chat application that combines the robustness of Django with cutting-edge language models with seamless integration of real-time communication and artificial intelligence, providing users with an intelligent conversational experience.
the open source repository for Mistral AI Discord Bot
🍔 Automates a food order from a json food menu using Retrieval-Augmented Generation (RAG) with OpenAI and MistralAI.
AI-powered content generator using GPT-4 and Mistral. Transform your ideas into polished content with customizable templates. Built with Streamlit and LangChain.
Basic RAG from scratch using MISTRAL AI APIs
DocQA is designed to respond comprehensively to questions posed about the provided document, regardless of the section from which the questions originate.
Examples of Mistral API using Python REST / curl
BUILD LLM using ElasticSearch and Mistral.AI
AmygdalaGPT
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