10th April 2024 - Link Blog
Notes on how to use LLMs in your product. A whole bunch of useful observations from Will Larson here. I love his focus on the key characteristic of LLMs that “you cannot know whether a given response is accurate”, nor can you calculate a dependable confidence score for a response—and as a result you need to either “accept potential inaccuracies (which makes sense in many cases, humans are wrong sometimes too) or keep a Human-in-the-Loop (HITL) to validate the response.”
Recent articles
- Claude Fable is relentlessly proactive - 11th June 2026
- Initial impressions of Claude Fable 5 - 9th June 2026
- Running Python code in a sandbox with MicroPython and WASM - 6th June 2026