The "A:" is an explicit prompt format that's used in question answering. I used it here to tell the model that there is an expected further. In this example, it's not clear how this is useful vs not ...

In this section, we cover the latest prompt engineering techniques for ChatGPT, including tips, applications, limitations, papers, and additional reading materials. ChatGPT is a new model trained by ...

Engineers are replacing static prompts with dynamic context control planes that separate memory, knowledge, and real-time ...

Tsinghua’s HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...

Cloud-based LLMs such as Claude and ChatGPT may be impressive, but your prompts are all processed on someone else's servers. Local LLMs offer privacy, but the more capable models require powerful ...

Glitches in an LLM service do not necessarily show up because of a poorly engineered platform. Even platforms built well can ...

MCP or CLI? A practical look at Jira, GitHub and Playwright, separating tool access, permissions and response shaping from ...

Me: "Well, while I'm sure some people know, there must be some very optimistic estimates being made. I interact daily with ...

Harness engineering is designing and improving everything around an AI model that makes an agent reliable. Where the term ...

Summary Even if you ask the same AI the same thing, the answers you get will differ from person to person. What differs is ...

Large language model agents now answer support tickets, query databases and plan trips. When they go wrong, they usually ...

A portable pipeline that turns a catalogue's structured metadata into LLM-synthesized item features, with the evaluation harness needed to find out whether they help. Instantiated on two catalogues ...