The talk track I've been using is that LLMs are easy to take to market, but hard to keep in the market long-term. All the hard stuff comes when you move past the demo and get exposure to real users.
And that's where you find that all the nice little things you got neatly working fall apart. And you need to prompt differently, do different retrieval, consider fine-tuning, redesign interaction, etc. People will treat this stuff differently from "normal" products, creating unique challenges.
Recent articles
- Exploring Promptfoo via Dave Guarino's SNAP evals - 24th April 2025
- AI assisted search-based research actually works now - 21st April 2025
- Maybe Meta's Llama claims to be open source because of the EU AI act - 19th April 2025