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Contrarian Guide to AI: Jason Liu on Betting Against Agents while Doubling Down on RAG & Fine-Tuning
High Agency: The Podcast for AI Builders
Balancing user outcomes with AI application building
The tension lies between focusing on end user outcomes and building a useful product without getting overly excited about AI technology. While some insist on using existing tools, others advocate for new AI systems and approaches in application development. The speaker emphasizes their experience with fuzzy and probabilistic systems, noting the differences in approach between engineering and research machine learning teams. They suggest allowing for products with 85-90% success rate to be shipped, focusing on managing expectations, educating users, and prioritizing certain requests.
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