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
- Teresa T is name of the whale in Pillar Point Harbor near Half Moon Bay - 8th September 2024
- Calling LLMs from client-side JavaScript, converting PDFs to HTML + weeknotes - 6th September 2024
- Building a tool showing how Gemini Pro can return bounding boxes for objects in images - 26th August 2024