Tagged articles

Skill Distillation

3 articles · Page 1 of 1

Aug 4, 2026 · Artificial Intelligence

Agentic RL: Cutting‑Edge Techniques from GLM‑5.2 and Qwen

The article dissects recent Agentic RL breakthroughs—including GLM‑5.2’s shift from GRPO to critic‑based PPO, Qwen’s multi‑dimensional verification system, the generative‑critic GenAC, and the on‑policy skill‑distillation method OPID—showing how each tackles long‑trajectory credit assignment, reward hacking, and scalable evaluation across software‑engineering, front‑end, and real‑world tasks.

Agentic RLGLM-5.2Generative Critic

0 likes · 36 min read

Agentic RL: Cutting‑Edge Techniques from GLM‑5.2 and Qwen

Digital Planet

Apr 10, 2026 · Industry Insights

How AI Turns Employees into Replicable Skills – From Storing Experience to Mastering Rules

The article examines why stagnant personal output, slowing corporate growth, and a slowing economy all share a common logic, explains how AI "old employee" systems evolve from merely recording experience to actively reproducing decision‑making rules, and outlines how individuals can maintain value by crossing the execution‑definition boundary that AI cannot replicate.

AISkill Distillationcareer growth

0 likes · 14 min read

How AI Turns Employees into Replicable Skills – From Storing Experience to Mastering Rules

PaperAgent

Mar 2, 2026 · Artificial Intelligence

SKILLRL: Boosting LLM Agents with Skill Distillation and Recursive Evolution

SKILLRL introduces a novel framework that transforms raw LLM agent trajectories into compact, reusable skills via experience‑driven distillation, hierarchical skill banks, and recursive skill evolution, achieving up to 90% success on ALFWorld and 73% on WebShop while reducing token usage by over 10% compared to memory‑based baselines.

LLM agentsSKILLRLSkill Distillation

0 likes · 10 min read

SKILLRL: Boosting LLM Agents with Skill Distillation and Recursive Evolution