Semantic text search using embeddings. Example Python notebook from OpenAI demonstrating how to build a search engine using embeddings rather than straight up token matching. This is a fascinating way of implementing search, providing results that match the intent of the search (“delicious beans” for example) even if none of the keywords are actually present in the text.
Recent articles
- My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends - 10th January 2025
- Weeknotes: Starting 2025 a little slow - 4th January 2025
- I still don't think companies serve you ads based on spying through your microphone - 2nd January 2025