Statistics for topic large-language-models
RepositoryStats tracks 615,808 Github repositories, of these 1,157 are tagged with the large-language-models topic. The most common primary language for repositories using this topic is Python (705). Other languages include: Jupyter Notebook (139), TypeScript (27), JavaScript (17), HTML (12), C++ (11)
Stargazers over time for topic large-language-models
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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.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Align Anything: Training All-modality Model with Feedback
Remma-O1: An open-source Language Model with 1.17B Params, built for transparency, collaboration, and innovation. Designed to empower developers and researchers with cutting-edge NLP capabilities, fos...
✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models
Official code for paper "Learning to Use Tools via Cooperative and Interactive Agents"
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
Align Anything: Training All-modality Model with Feedback
Reverse Engineering: Decompiling Binary Code with Large Language Models
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.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
"VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos"
Official code for paper "Learning to Use Tools via Cooperative and Interactive Agents"
Framework and toolkits for building and evaluating collaborative agents that can work together with humans.
Reverse Engineering: Decompiling Binary Code with Large Language Models
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Reverse Engineering: Decompiling Binary Code with Large Language Models
Official Repo for WWW 2025 paper "Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents"
"VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos"
Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
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...
Reverse Engineering: Decompiling Binary Code with Large Language Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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.
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"
The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
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.