Podcasts

Wenjie Zi on Technology and Organizational Aspects for ML Project Success

In this podcast, Wenjie Zi discusses why many ML projects don’t succeed and what technology and organizational aspects affect the success of those projects. She also talked about what potential communication and understanding gaps can exist between business team and ML practitioners and how to address these gaps.

Apoorva Joshi on LLM Application Evaluation and Performance Improvements

In this podcast, Apoorva Joshi, senior AI developer advocate at MongoDB, discusses how to evaluate software applications that use the Large Language Models or LLMs and how to improve the performance of LLM based applications.

Susan Shu Chang on Bridging Foundational Machine Learning and Generative AI

Live from the QCon San Francisco Conference, we are talking with Susan Shu Chang, Principal Data Scientist at Elastic. Chang shares insights on bridging foundational machine learning with generative AI, emphasizing the importance of deploying ML models effectively, leveraging collaborative tools for prototyping, and aligning team roles with the ML life cycle to create scalable AI solutions.

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.