I am on a voyage of discovery through prompting and prompting technologies because these are the critical interfaces between what we want (or roughly imagine we want) from AI, and AI’s ability to deliver. I have seen suggestions that any deficiencies today are a detail that will soon be overcome. I’m not so sure. Yes, prompting technology… Read More
The immediate appeal of large language models (LLMs) is that you can ask any question using natural language in the same way you would ask an expert, and it will provide an answer. Unfortunately, that answer may be useful only in simple cases. When posing a question we often implicitly assume significant context and skate over ambiguities.… Read More
We have a shortage of reference designs to test detection of security vulnerabilities. An LLM-based method demonstrates how to fix that problem with structured prompt engineering. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford,… Read More
