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Configurable and extensible validator/linter for OpenAPI documents
Library that provides convenient access to the Generative AI API from Node.js applications
Answer key for my Kubernetes for Beginners Course on Udemy
Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
βοΈ Serving LangChain LLM apps and agents automagically with FastApi. LLMops
Repository of the code base for KT Generation process that we worked at Google Cloud and Searce GenAI Hackathon.
[ICLR 2024] Lemur: Open Foundation Models for Language Agents
A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
Drag & drop UI to build your customized LLM flow
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
LLM powered development for VSCode
Realtime Diffusion, using Automatic1111 Stable Diffusion API
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.
Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"
A collection of research materials on explainable AI/ML
QLoRA: Efficient Finetuning of Quantized LLMs
Seamlessly integrate LLMs into scikit-learn.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Document Q&A over The Full Stack's Corpus