LlamaIndex is a data framework for your LLM applications
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Updated
May 13, 2024 - Python
LlamaIndex is a data framework for your LLM applications
Unify Efficient Fine-Tuning of 100+ LLMs
Low-code framework for building custom LLMs, neural networks, and other AI models
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Distributed ML Training and Fine-Tuning on Kubernetes
Finetune Llama 3, Mistral & Gemma LLMs 2-5x faster with 80% less memory
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
Using Low-rank adaptation to quickly fine-tune diffusion models.
LLM Finetuning with peft
Your Automatic Prompt Engineering Assistant for GenAI Applications
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
A comprehensive guide to building RAG-based LLM applications for production.
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
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