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Miles: A PyTorch-Native Stack for Large-Scale LLM RL Post-Training
Miles is an open source PyTorch-native framework for large-scale LLM reinforcement-learning post-training, combining SGLang for rollouts, Megatron-LM for training, Ray for orchestration, and PyTorch for extensibility. The post explains how Miles handles the hard systems problems behind frontier RL, including async rollout/training, fast weight sync, MoE alignment, low-precision recipes, ...
Pure-Python symbolic regression that rediscovered Kepler's law from 8 data point
harvard-edge / cs249r_book
Machine Learning Systems
Hamiltonian Neural Networks from a Differential Geometry Perspective
The post explains Hamiltonian Neural Networks through differential geometry, showing why a normal MLP can fit motion data but still invent or lose energy over long rollouts. It shows that by learning a scalar Hamiltonian and deriving motion through the symplectic gradient, HNNs make energy conservation structurally unavoidable instead of hoping the network learns it from data.
Protobuf-py: Protobuf for Python, without compromises
💖 Most Popular in the Last Two Weeks
gzipt
A compression based language model.
Python 3.14 compiled to metal – no interpreter
Build a fully local voice assistant in 2026
A practical setup for a Raspberry Pi-friendly voice assistant based on Platypush.
You shouldn't trust Trusted Publishing
The post explains that PyPI Trusted Publishing is an authentication mechanism for machine-to-machine trust between CI/CD workflows and package registries, not a signal that a package is safe or high quality. It shows how Trusted Publishing reduces long-lived credential risk, while warning that users should not treat it like a “green checkmark” because malicious or low-quality packages ca...
microsoft / SkillOpt
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
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