Masataka-Ogawa
Follow
Stars
Open source chat kit engineered for seamless interaction with AI models.
🤖 💼 Azure Chat Solution Accelerator powered by Azure Open AI Service
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Practical course about Large Language Models.
Supercharge Your LLM Application Evaluations 🚀
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
Forward-Looking Active REtrieval-augmented generation (FLARE)
imartinez2 / azurechatgpt
Forked from matijagrcic/azurechatgpt🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼
Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces. This repo is intended for IBM Eco…
Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"
The dataset and code for paper: TheoremQA: A Theorem-driven Question Answering dataset
Well tested & Multi-language evaluation framework for text summarization.
Seamlessly integrate LLMs into scikit-learn.
The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
JGLUE: Japanese General Language Understanding Evaluation
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.