Error Analysis for Improving LLM Applications
A systematic approach to analysing and improving large language model applications through error analysis.
Artificial intelligence
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Why we need Experiment-based Roadmaps in the AI Product Era
Why evaluation-driven experimentation creates better roadmaps in AI products.
The challenges of mastering LLMs, and their role as cyborg enhancement
Simon Willison was a guest on Logan Kilpatrick's Google podcast. Topics covered: AI as a 'cyborg enhancement', the non-intuitive challenges of mastering LLM use, and the legitimate need for uncensored language models in fields like journalism.
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Is Psychology or Politics Behind Project Failures?
How Big Things Get Done (Ch2): Exploring the forces that drive us to think fast and act slow
How AI is making its way into Government
Exploring AI's role in government: from sanctioned projects to unapproved staff use, and its creeping integration into everyday tools.
Does OpenAI's loss on ChatGPT Pro mean they're doomed?
I don't think so. 🤷
Think Slow, Act Fast: The Paradox of Project Planning
How Big Things Get Done (ch1)
Two AI things from Kent Hendricks' annual 'Things I learned' blog
impact on jobs and carbon emissions...
Open Models in 2024: Progress and Challenges
Open models achieved a lot in 2024, Luca from the AI Institute gives a good overview.