Machine Learning TRACE: Train Agents on Their Own Failures With GRPO
Diagnose an agent's missing skills, then train targeted, routed LoRA adapters with GRPO.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Machine Learning Diagnose an agent's missing skills, then train targeted, routed LoRA adapters with GRPO.
Machine Learning Run Google's TabFM on real tabular data. No tuning, no feature engineering, one forward pass.
Machine Learning Ship a taskset, swap any harness, and turn compacted rollouts into real RL training samples.
Tutorials Use Anthropic's compact-2026-01-12 beta so long agentic loops survive past the 200K context window.
Tutorials Meituan's 1.6T open MoE topped OpenRouter as 'Owl Alpha.' Call it in Python with the OpenAI SDK.
Tutorials Load a whole repo into Gemini 3.5 Pro's 2M context, query it without RAG, and cache to cut cost.
Tutorials Cut MCP agent context up to 99% by exposing tools as a code API the model calls in code.
Tutorials Port your MCP server to the stateless 2026-07-28 spec using the explicit-handle pattern.
Tutorials Build a skill-manifest registry so an AI agent wields dozens of skills without context bloat.
Tutorials Reuse a huge codebase prefix across every Fable 5 call and pay ~90% less.
Machine Learning Run Google's open diffusion LLM with Transformers and learn why it decodes text in parallel.
Tutorials Use DeepSeek V4 Pro's auto KV cache to run huge-context jobs for cents.