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
- Maybe Meta's Llama claims to be open source because of the EU AI act - 19th April 2025
- Image segmentation using Gemini 2.5 - 18th April 2025
- GPT-4.1: Three new million token input models from OpenAI, including their cheapest model yet - 14th April 2025