korrents

korrents · piece

Short Musings on AI Engineering and "Failed AI Projects"

Shreya Shankar · 24 Jun 2024

Read the piece on sh-reya.com ↗

1 korrent from this piece ↓

Shreya Shankar did not write this page.

Every claim below was made in this piece, quoted word for word and numbered in the order the piece makes them, so you can read it there rather than take our word for it. The sentence above each quote is our reading of the claim, not their wording. Each quote was checked against a stored copy of the page at build time; where the two differ, the quote is the fact.

  1. Our reading

    Teams expect too much from AI applications at launch and fail to build the infrastructure to keep improving them.

    Their wordsI think, in ML and AI engineering, that teams often expect too high of accuracy or alignment with their expectations from an AI application right after it’s launched, and often don’t build out the infrastructure to continually inspect data, incorporate new tests, and improve the end-to-end system. Then, over time, they only get more and more disappointed.

Keep reading