Statistics for topic large-language-models
RepositoryStats tracks 630,443 Github repositories, of these 1,222 are tagged with the large-language-models topic. The most common primary language for repositories using this topic is Python (746). Other languages include: Jupyter Notebook (147), TypeScript (28), JavaScript (19), C++ (11), HTML (11)
Stargazers over time for topic large-language-models
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Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Comprehensive guide to learn RAG from basics to advanced.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Comprehensive guide to learn RAG from basics to advanced.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
A Model Context Protocol (MCP) server that provides tools to query Erick Wendel's contributions across different platforms
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
An Introduction to Embodied Intelligence (A Quick Guide of Embodied-AI) (Updating)
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A curated list of 120+ LLM libraries category wise.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
A Model Context Protocol (MCP) server that provides tools to query Erick Wendel's contributions across different platforms
Comprehensive guide to learn RAG from basics to advanced.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives
A curated list of 120+ LLM libraries category wise.
A curated list of 120+ LLM libraries category wise.
Comprehensive guide to learn RAG from basics to advanced.
Efficient triton implementation of Native Sparse Attention.
Repository `JonusNattapong/Notebook-Git-Colab` เป็นการรวบรวมแหล่งข้อมูลสำหรับการเรียนรู้เกี่ยวกับปัญญาประดิษฐ์ (Artificial Intelligence - AI) และโมเดลภาษาขนาดใหญ่ (Large Language Models - LLMs) รวมถึง...
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A curated list of 120+ LLM libraries category wise.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A curated list of 120+ LLM libraries category wise.
A Unified Tokenizer for Visual Generation and Understanding
✨ A synthetic dataset generation framework that produces diverse coding questions and verifiable solutions - all in one framwork
OctoTools: An agentic framework with extensible tools for complex reasoning
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultr...
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
🧑🚀 全世界最好的LLM资料总结（数据处理、模型训练、模型部署、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.