The ultimate teaching planning tool for generating guided questions and answers for your students
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Updated
Apr 3, 2024 - Python
The ultimate teaching planning tool for generating guided questions and answers for your students
Intent detection agent that will route irrelevant queries to a cheaper model.
RAG-LLM enables interactive question answering leveraging RAG architecture and Large Language Models (LLMs) applied to custom dataset regarding Medium articles.
This repository contains projects of LLM Agents that empowers users to efficiently construct large language model (LLM)-based agents. Whether you’re diving into the world of AI chatbots, text generation, or natural language understanding, this repo provides the tools you need. 🚀
Ce projet est destiné aux utilisateurs souhaitant extraire et analyser des informations de plusieurs fichiers PDF.
Eco-impact assessment tool using the Llama-Index to process Wikipedia data for query-specific, AI-powered information retrieval and analysis
building a Semi-structured Image Retrieval using llamaindex and gemini pro
CodeChat: Enabling interaction with codebases present in GitHub repositories. Seamlessly explore, query, and discuss code with a powerful RAG pipeline, making coding intuitive and efficient
Code trying out various LLM frameworks and libraries
RAG application to track and analyze Safaricom Mpesa transactions from using LLMs.
LLM based cheerleader for you inside your simple, one page CV.
Life Inclusion For Everyone
This repo host the code of course 'Generative AI with Large Language Models' by DeepLearning.ai, delving into advanced techniques of generative artificial intelligence using large language models, focusing on natural language processing and creative applications.
Build Generative AI, custom Question/Answer or Information Retrival Application using LlamaIndex, Google Gemini
System incorporating AI and indices to better answer queries and interact with more context and knowledge
GPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
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