Showing 61-80 of 215 projects
H2O LLM Studio is a no-code GUI framework for fine-tuning large language models (LLMs) like GPT-3, LLAMA, and ChatGPT.
An open-source framework for prompt-learning, a powerful technique for fine-tuning language models.
A practical guide for LLM engineers, covering fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices.
A curated list of Large Language Model resources for training, serving, fine-tuning, and building LLM applications.
An Objective-C library for fine-tuning and adjusting parameters for iOS apps during development.
Build, Evaluate, and Optimize AI Systems
A comprehensive guide to prompt engineering, generative AI, and large language models for developers.
Optimize AI inference performance on GPUs with this Python library for selecting and tuning inference engines.
Tweakpane is a compact GUI library for fine-tuning parameters and monitoring value changes, with a focus on creative coding.
GT is a portable debugging tool for bug hunting and performance tuning on smartphones.
Tune-A-Video is a one-shot text-to-video generation tool that fine-tunes image diffusion models.
Instruction Tuning with GPT-4, a library for fine-tuning large language models like GPT-4 for custom tasks.
This repository contains the book 'Large Language Models' authored by a team of researchers.
A RAG (Retrieval Augmented Generation) framework for building modular, open-source AI applications by TrueFoundry.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
Must-read papers on prompt-based tuning for pre-trained language models.
Collection of 100+ Jupyter Notebook tutorials for fine-tuning AI models on various platforms.
A lightweight and responsive navigation library for web applications.
Official implementation of a paper on multimodal chain-of-thought reasoning in language models.
A fast and feature-rich PostgreSQL log analyzer tool that helps developers optimize database performance.
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