Qwen 3.8 27B defaults to maximum reasoning effort on every prompt, even simple ones. Here's how to run it locally, spot the setting, and control…
Instead of shipping a 600-item enum to the model, let it invent a fake category and snap it to a real one with embeddings. Cheaper,…
My eval harness leaked model names into the judge prompt for six weeks. What two recent papers say about judge bias and calibration, and the…
My LLM evaluation tools said the agent was fine. Two long-horizon benchmarks explain why it fell apart in week three, and what I test differently…
Two new papers tested LLM synthetic data against real survey takers and peer reviewers. Every model missed the same things. Here is where I still…
Tool schemas quietly weaken your model's refusal behavior. Here is what a new agent-safety paper found and the checks I now run before shipping any…
RAG or fine-tuning? One question settles it most of the time. What the benchmarks leave out, where retrieval quietly fails, and the hybrid split I…
Strict mode guarantees your JSON matches the schema, not that the values are right. The optional-field trap that cost me a day, and the checks…
Prompt tone changes LLM output token count by up to 44%, per a new arXiv paper. Here is what I measured on my own prompts,…
Adding more few-shot examples can quietly make your LLM prompt worse. Here is what the over-prompting research found and how I size the example set…