YAAP (Yet Another AI Podcast)
YAAP (Yet Another AI Podcast)
Podcast Description
YAAP brings you practical conversations with the people actually building generative AI solutions. No hype, no sales pitches, just honest discussions about challenges, solutions, and lessons learned.
Listen to developers and engineers share what works, what doesn't, and what they wish they'd known sooner. Simple, useful insights for anyone working with AI — hosted by AI21's Yuval Belfer.
Podcast Insights
Content Themes
The show covers key themes in generative AI, focusing on real-world applications, challenges faced by developers, and lessons learned from the field, with episodes such as 'Tool Calling 2.0: How MCP Is Standardizing AI Connections' exploring topics like integration of AI with existing software like Jira and Notion as well as authentication challenges in cloud environments.
YAAP brings you practical conversations with the people actually building generative AI solutions. No hype, no sales pitches, just honest discussions about challenges, solutions, and lessons learned.
Listen to developers and engineers share what works, what doesn’t, and what they wish they’d known sooner. Simple, useful insights for anyone working with AI — hosted by AI21’s Yuval Belfer.
Your LLM gave a great answer. But who decides what “great” means?
In this episode, Yuval talks with Noam Gat about judge language models — reward models, critic models, and how LLMs can be trained to rate, rank, and critique each other. They dive into the difference between scoring and feedback, how to use judge models during inference, and why most evaluation benchmarks don’t tell the full story.
Turns out, getting a good answer is easy. Knowing it’s good? That’s the hard part.
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