📄 文章列表
22 篇文章
AlphaSignal
Engram's RL Training Teaches Agents to Read Their Own Notes 20% Better
cn_ai
同一个模型从 30 分到 95 分:拉开差距的不是模型,是Harness
TDS
Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions
VentureBeat
AWS just made it way easier to use SageMaker to fine-tune AI models for tool use and your firm's specific tasks
TDS
Could On-Policy Self-Distillation Revolutionize Post-Training?
TDS
How Many Guesses Does It Take to Crack an AI's "Random" Number?
TDS
How GRPO Trains Small Language Models with Verifiable Rewards
VentureBeat
'Better than DeepSeek': Xiaomi's MiMo-V2.6-Pro debuts as the top open weights model in the world alongside cheaper V2.6-
VentureBeat
Meta researchers taught an 8B AI model to match Claude Opus 4.5 — without the frontier price tag
AlphaSignal
Prime Intellect's prime-rl Ships Six RL Algorithms With Per-Environment Control | AlphaSignal
AlphaSignal
Reinforcement Learning With Hints: Privileged On-Policy Exploration (POPE) trains models to expand on partial solutions
AlphaSignal
Top Agentic Performance, Low Cost: GLM-5.2, designed for coding and long-running agentic jobs, now the top open model
AlphaSignal
Seedance Makes A Splash, Nvidia's AI-Guided Chip Designs, Helping Robots Not Forget
AlphaSignal
Testing Mythos and Fable, Moving Beyond SWE-bench, Nvidia's Open Contender
AlphaSignal
Prime Intellect's ECHO Teaches AI Agents to Predict Their Own Tool Responses | AlphaSignal
AlphaSignal
Prime Intellect's ECHO Teaches AI Agents to Predict Their Own Tool Responses | AlphaSignal
TDS
Model Compression: Make Your Machine Learning Models Lighter and Faster
TDS
Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO
TDS
May Must-Reads: Math for Machine Learning Engineers, LLMs, Agent Protocols, and More
TDS
How to Fine-Tune Small Language Models to Think with Reinforcement Learning
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