Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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🧠 Train a 64M-parameter LLM from scratch in just 2h!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
- large-language-models
- nlp
- knowledge-curation
- naacl
Code and documentation to train Stanford's Alpaca models, and generate the data.
- deep-learning
- instruction-following
- language-model
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- semantic-search
- information-retrieval
- ai
- python
Universal LLM Deployment Engine with ML Compilation
- llm
- machine-learning-compilation
- language-model
- tvm
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
- chinese
- large-language-models
- natural-language-processing
- flash-attention
Machine Learning Engineering Open Book
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
- llm
- plm
- pre-trained-language-models
- alpaca
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Ongoing research training transformer models at scale
- large-language-models
- model-para
- transformers
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
A framework for few-shot evaluation of language models.
- evaluation-framework
- language-model
- transformer
An open source implementation of CLIP.
- deep-learning
- pytorch
- computer-vision
- language-model
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Hierarchical Reasoning Model Official Release
- brain-inspired-ai
- deep-learning
- large-language-models
- reasoning
An open-source, tool-augmented conversational language model from Fudan University
- chatgpt
- deep-learning
- dialogue-systems
- large-language-models
The official GitHub page for the survey paper "A Survey of Large Language Models".
- chain-of-thought
- chatgpt
- in-context-learning
- instruction-tuning