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Building blocks for foundation models.
A bibliography and survey of the papers surrounding o1
Let your Claude able to think
Curated collection of papers in machine learning systems
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
A curated list of reinforcement learning with human feedback resources (continually updated)
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
veRL: Volcano Engine Reinforcement Learning for LLM
Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
A flexible and efficient training framework for large-scale alignment tasks
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
SGLang is a fast serving framework for large language models and vision language models.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.