DocQA is designed to respond comprehensively to questions posed about the provided document, regardless of the section from which the questions originate.
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Updated
Feb 26, 2024 - Python
DocQA is designed to respond comprehensively to questions posed about the provided document, regardless of the section from which the questions originate.
A Simple To Use Mistral AI Client
a Discord chatbot trained on Mistral and LLaVA language models
A Ruby gem for interacting with Mistral AI's large language models.
Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).
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.
A versatile CLI and Python wrapper for Mistral AI's 'Mixtral' and 'Mistral' large language models. Streamline the creation of chatbots and generate dynamic text with ease.
A 1:1 Ruby port of the official Mistral Python client, with feature and API parity.
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.
Boost productivity and power your workflow with Nano Bots for Visual Studio Code: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Cohere Command, Google Gemini, Maritaca AI MariTalk, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).
AI-based Pull Request Summarizer and Reviewer with Chat Capabilities.
AI-powered tool that recommends variable names with Ollama, ChatGPT, Gemini, Claude, Mistral and others
Build a chatbot with the Mixtral 8x7B Instruct model using the Panel chat interface.
Leveraged BERT to distinguish AI generated from human written texts in a Kaggle competition, using datasets from Mistral AI (to train the model)
[📚][💻] Repository dedicated to the study of LLM Mistral (API) and creation of applications involving Prompt Engineering and Generative AI techniques.
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