Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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Nov 11, 2026 - Python
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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The official GitHub page for the survey paper "A Survey of Large Language Models".
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Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
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Implement a reasoning LLM in PyTorch from scratch, step by step
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OpenClaw-RL: Train any agent simply by talking
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Robust recipes to align language models with human and AI preferences
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
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Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
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The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
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Align Anything: Training All-modality Model with Feedback
A curated list of reinforcement learning with human feedback resources (continually updated)
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Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
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A Doctor for your data
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
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