Machine Learning Verifiers v1: Train Agents Past the Context Window
Ship a taskset, swap any harness, and turn compacted rollouts into real RL training samples.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Machine Learning Ship a taskset, swap any harness, and turn compacted rollouts into real RL training samples.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Machine Learning Build a SWE-Together-style multi-turn coding-agent eval with an LLM user simulator in Python.
Machine Learning Train a linear probe on hidden activations and steer output, the method behind Anthropic's J-Lens.
Tutorials Meituan's 1.6T open MoE topped OpenRouter as 'Owl Alpha.' Call it in Python with the OpenAI SDK.
Tutorials Install Nous Research's self-improving agent, run it on a local model, and build a reusable skill.
Tutorials Sonnet 5 claims better hijack resistance. Here's how to measure it yourself.
Tutorials Load a whole repo into Gemini 3.5 Pro's 2M context, query it without RAG, and cache to cut cost.
Tutorials Hands-on Python guide to Sonnet 5's adaptive thinking, effort levels, and the 30% tokenizer trap.
Tutorials Build a semantic cache that reuses answers for similar prompts and slashes LLM API costs.
Tutorials A runnable Python governor that caps LLM spend per user and auto-downgrades models.
Tutorials Stream Gemini's thought summaries live, control reasoning effort, and track thinking-token cost.