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Model Training Pipelines

All digests tagged Model Training Pipelines

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Learning on the Job: The Future of Post-Training — Raymond Feng, Applied Compute Jul 31, 2026 · 18:20 Learning on the job: The future of post-training involves teaching agents to continuously adapt in real-world enterprise harnesses. This requires moving beyond controlled synthetic environments to handle non-replayable, off-policy data.

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Build A Reasoning Model From Scratch 6: Reinforcement Learning 1 (Implementing GRPO for RLVR) Oct 3, 2026 · 1:26:54 This session details implementing Reinforcement Learning with Verifiable Rewards (RLVR) using the GRPO algorithm to train a reasoning model. The process involves calculating rewards, advantages, and policy gradient loss to enhance reasoning capability.

Sebastian Raschka

Build A Reasoning Model From Scratch 6: Reinforcement Learning 1 (Implementing GRPO for RLVR)

This session details implementing Reinforcement Learning with Verifiable Rewards (RLVR) using the GRPO algorithm to train a reasoning model. The process involves calculating rewards, advantages, and policy gradient loss to enhance reasoning capability.

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AI Engineer

Learning on the Job: The Future of Post-Training — Raymond Feng, Applied Compute

Learning on the job: The future of post-training involves teaching agents to continuously adapt in real-world enterprise harnesses. This requires moving beyond controlled synthetic environments to handle non-replayable, off-policy data.

Read article