large-language-models

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

This is an advanced Python tool that empowers you to effortlessly draft customizable PowerPoint slides using the Generative Pre-trained Transformer (GPT) of your choice. Leveraging the capabilities of Large Language Models (LLM), odin-slides enables you to turn the lengthiest Word documents into well organized presentations.

An all-new Language Model That Processes Ultra-Long Sequences of 100,000+ Ultra-Fast

[EMNLP 2024] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.

Universal LLM Interface

"Generative AI in Action" book's code repository

Comprehensive Compilation of Real-World LLM & AI Agent Use Cases in Financial Services

Meet MultiPDF 📚 Chat AI App! 🚀 Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless Streamlit Deployment. Get instant, accurate responses from Awesome Google Gemini OpenSource language Model. 📚💬 Transform your PDF experience now! 🔥✨

Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.

App-Controller: Allow users to manipulate your App with natural language

Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️

Google's SoundStorm: Efficient Parallel Audio Generation

A framework for human-readable prompt-based method with large language models. Specially designed for researchers. (Deprecated, check out LangChain for better usage!)

Ultimate Claude Fable 5 Guide 2026: Use Cases, Integrations & Benchmarks

Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, Fundamental Sciences such as Mathematics, and Ominous.

A local and uncensored AI entity.

An Integrated Library for Tuning, Deploying and Interpreting Genomic Models

Visual knowledge bank for understanding large language models, with 180 concept cards from tokenization to deployment.

A complete collection of RAG interview questions, answers (548 questions & 41 RAG types), system design scenarios, architecture patterns, and production-ready concepts.

DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins