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 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
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
LLM based cheerleader for you inside your simple, one page CV.
Life Inclusion For Everyone
Generate documentation using Hugging Face embeddings and local LLMs
A chatbot 🤖 for answering all question related to pea plant disease 🌱, specifically early leaf spot disease. Built using OpenAI API, langchan and llama-index
Use RAG with Langchain to chat with your data and display the retrieved source(s)
ProfessorAI is an application that allows professors to upload course material into the platform, which in turn, learns and indexes all the information. Subsequently, students can use a chat application to ask the model any question pertaining to the course material.
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