And then it’s been there’s existing great utility chains for map-reduce, with re-ranking, etc for more ways to apply LLM completions over large documents and/or large sets of documents:
3. https://m.youtube.com/watch?v=f9_BWhCI4Zo
It's interesting to learn specifically about Growth Engineering, given so much is normally written about Growth overall as a function and those posts are typically about the PM side and tactics/experiments that teams tried. Also interesting to see where companies draw the lines of engineering responsibilities for Growth teams vs the rest of the org and how they split the team up.
1. Extraction for query filters - https://twitter.com/hwchase17/status/1651617956881924096?s=4...
2. Contextual compression to eek more out of prompt stuffing - https://twitter.com/hwchase17/status/1649428295467905025?s=4...
And then it’s been there’s existing great utility chains for map-reduce, with re-ranking, etc for more ways to apply LLM completions over large documents and/or large sets of documents: 3. https://m.youtube.com/watch?v=f9_BWhCI4Zo