Catalog & Cocktails: The Honest, No-BS Data Podcast How to Get Out of AI Proof-of-Concept Purgatory with Hugo Bowne-Anderson
15 snips
Apr 10, 2025 Hugo Bowne-Anderson, an independent data and AI scientist, dives into the reasons behind the frequent failure of AI applications to progress beyond the demo stage. He introduces Evaluation-Driven Development (EDD) as a solution, emphasizing continuous evaluation. The conversation covers the importance of synthetic data generation, the collapse of boundaries between data and product development, and the evolving roles in AI. Hugo also highlights the need for clear specifications and robust testing frameworks to ensure that AI applications provide real business value.
AI Snips
Chapters
Transcript
Episode notes
Build with AI Today
- Explore and experiment with AI tools, even in non-production settings.
- Start conversations about AI with colleagues and LLMs themselves.
Supercharge Your Workflow
- Knowing programming basics like Python and command line can significantly boost your productivity with AI tools.
- Combine this with workflow enhancements like using a stream deck for macros and voice dictation.
Decentralized LLMs
- LLMs have drastically reduced traffic and business for platforms like Stack Overflow.
- This highlights the potential for decentralized, specialized LLMs owned by entities like news organizations.