Tag: ML Engineering

All the articles with the tag "ML Engineering".

• Experience-Augmented In-Context Learning: A Training-Free Complement to RL Post-Training

  28 Feb, 2026 · 23 min read

  RL post-training makes models smarter, but it can't cover the infinite long tail of real-world cases. Experience-augmented ICL retrieves successful reasoning traces at inference time, letting agents learn continuously from real usage — no retraining required.

• Tool Selection Optimization for LLM Agents at Scale

  9 Jan, 2026 · 18 min read

  A deep technical dive into tool selection—retrieval strategies, context optimization, learned selection, and the engineering trade-offs that matter when scaling to hundreds of tools.

• Post-Training Is Not 'One Algorithm': Objective Functions and Implementation Essentials for PPO / DPO / GRPO

  30 Dec, 2025 · 12 min read

  Reading notes on RLHF covering PPO, DPO, and GRPO—understanding post-training as an engineering pipeline rather than a single algorithm.

• RLHF from an Engineering Perspective: PPO, GRPO, DPO, and Tool-Use Implementation

  30 Dec, 2025 · 12 min read

  A practical engineering guide to RLHF implementation—covering PPO, GRPO, DPO, and tool-use training with code snippets and debugging tips.