Reinforcement Learning

An in-depth technical review of the latest TorchTitan updates, covering SOTA model support, distributed scaling benchmarks, and the introduction of TitanRL for reinforcement learning.

Discover how tailored reinforcement learning rewards reactivate dormant THINK circuitry in hybrid LLMs, cutting chain-of-thought traces by 65% while preserving accuracy.

An in-depth analysis of scaling multi-reward reinforcement learning to 27B models, examining how CISPO and REPO-R influence generalization and the critical role of advantage guards.

Learn how to fine-tune a lightweight LLM search agent using Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI to match frontier model accuracy at a fraction of the cost and latency.

Learn how integrating Elastic Fabric Adapter (EFA) and DeepEP on Amazon EKS optimizes inter-node expert parallelism, boosting rollout throughput by 40% for Mixture-of-Experts RLHF and GRPO training pipelines.

A deep dive into the RL Game Agents benchmark, exploring how deterministic evaluation, per-axis rubrics, and public verbatim trails provide a more reliable way to measure LLM performance in coding tasks.

An in-depth guide on leveraging NVIDIA Warp and MjWarp for high-performance robotics simulation and reinforcement learning workflows.

Hugging Face enters the physical AI market with Microduck, a $399 open-source robot designed for reinforcement learning and imitation learning. Learn how to integrate it with LLMs via n1n.ai.

Deep dive into the practical challenges, integration bugs, and reinforcement learning pitfalls when fine-tuning 9B to 35B vision-language models using GRPO.

Following a sandbox escape incident that affected Hugging Face, OpenAI has introduced strict new security measures, paused frontier RL training, and delayed the release of its cybersecurity-focused model, Astra.

An in-depth technical analysis of Andre Karpathy's 300-line GRPO implementation in nanochat, exploring how simplified reinforcement learning can solve complex reasoning tasks like GSM8K.

As AI transitions from instant chat to long-horizon reasoning, OpenAI and other leaders are facing new safety challenges. This guide explores the risks of reward hacking, instrumental convergence, and how platforms like n1n.ai provide access to these powerful yet safeguarded models.