Podcasts

InfoQ Java Trends Report 2024 - Discussing Insights with Ixchel Ruiz and Gunnar Morling

In this episode, Ixchel Ruiz and Gunnar Morling sat down with podcast host Michael Redlich, lead editor of the Java topic at InfoQ, to discuss the recent publication of the InfoQ Java Trends Report. Topics covered included: the advantages of the Java six-month release cadence; Project Lilliput and compact object headers; nullability in Java; the impact of Python; and the One Billion Row Challenge.

Denys Linkov on Micro Metrics for LLM System Evaluation

Live from the QCon San Francisco Conference, we are talking with Denys Linkov, Head of Machine Learning at Voiceflow. Linkov shares insights on using micro metrics to refine large language models (LLMs), highlighting the importance of granular evaluation, continuous iteration, and rigorous prompt engineering to create reliable and user-focused AI systems.

Crossing the Feedback Chasm - a Conversation with Ken Finnigan

Michael Stiefel spoke with Ken Finnigan about how the lack of feedback impedes the development of software professionals. Without feedback, the right candidates are not hired, software professionals cannot improve or grow into new roles, or individuals stagnate or regress in their current positions. Feedback must also be delivered at the right time - when it can be effectively used.

Namee Oberst on Small Language Models and How They are Enabling AI-Powered PCs

In this podcast, Namee Oberst, co-founder of AI Bloks, the company behind AI framework LLMWare, discusses the recent trend in Generative AI and Language Model technologies, the Small Language Models (SLMs) and how these smaller models are empowering the edge computing on devices and enabling AI-powered PC's.

Generally AI - Season 2 - Episode 4: Coordinate Systems in AI and the Physical World

In this podcast, Roland Meertens and Anthony Alford discuss coordinate systems, both in AI and the physical world. They explore how a library's classification systems mirror the concept of embeddings in AI, where documents are organized based on similarity and how AI tools like RAG use vector spaces to efficiently retrieve the right content.