When we started working on what became NotebookLM in the summer of 2022, we could fit about 1,500 words in the context window. Now we can fit up to 1.5 million words. (And using various other tricks, effectively fit 25 million words.) The emergence of long context models is, I believe, the single most unappreciated AI development of the past two years, at least among the general public. It radically transforms the utility of these models in terms of actual, practical applications.
Recent articles
- Storing times for human events - 27th November 2024
- Ask questions of SQLite databases and CSV/JSON files in your terminal - 25th November 2024
- Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast - 22nd November 2024