prompting
Prompt design and context engineering
Topics
- Evaluating LLM applicationsAn eval is a repeatable test of how well a model, prompt, or agent does a task. Without evals, changes to prompts, models, or tools are guesswork. Public benchmarks compare models in general; your…
- Prompting and context engineeringPrompting is writing the instructions and context a model works from. As models have improved, the craft has moved from tricks and magic phrases toward context engineering: choosing what…
- Retrieval-augmented generation (RAG)RAG answers a question by first retrieving relevant information from an external source and then giving it to the model as context. It keeps answers current, grounded, and citable without…
Sources
- Thinking Inertia: LLMs Keep Thinking When Told Not Topaper · Dianqiao Lei, Kevin Qinghong Lin, Pan Lu, Philip Torr, James Zou · 8 October 2026
- DSPy 3.4.0 release notesrelease · Stanford NLP (DSPy maintainers) · 25 September 2026
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelspaper · Wei et al. (Google Research) · 28 January 2022