Prompt engineering focuses on designing, creating, and refining prompts to elicit accurate, consistent, and unbiased outputs from large language models (LLMs). This concept also applies to other large ...

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 ...

NVIDIA has published a shorter path to local AI development, although simpler setup leaves application validation firmly in ...

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 ...

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

It sounds like a seminar joke, but it’s the first question anyone doing LLM tracking should ask before treating “ChatGPT recommends brand X” as a data point, whether you’re building an ...

UNSW Sydney researchers demonstrated that training GPT-4 on 57,000 authentic drunk text messages with no malicious content ...

Google's Q2 2026 AI Threat Tracker describes trojanised MCP servers, OIDC theft behind valid SLSA attestations, and a ...