Podcasts

Meryem Arik on LLM Deployment, State-of-the-Art RAG Apps, and Inference Architecture Stack

In this podcast, Meryem Arik, co-founder/CEO at TitanML, discusses the innovations in Generative AI and Large Language Model (LLM) technologies including current state of large language models, LLM Deployment, state-of-the-art Retrieval Augmented Generation (RAG) apps, and inference architecture stack for LLM applications.

Edo Liberty on Vector Databases for Successful Adoption of Generative AI and LLM based Applications

In this podcast, Edo Liberty, founder and CEO at Pinecone, discusses the importance of vector databases in the successful adoption of Generative AI and LLM based applications and how vector databases are different from traditional data stores.

Architecture Modernization with Nick Tune

In this episode, Thomas Betts talks with Nick Tune, co-author of the book Architecture Modernization - Socio-Technical Alignment of Software, Strategy, and Structure. The discussion includes how to know if it makes sense to invest in an architecture modernization journey, how to get started, what benefits you can expect to achieve, and how to measure the improvements.

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era

In this podcast, Vitess CNCF project technical lead Deepthi Sigireddi discusses the architecture of cloud native distributed databases, sharding, replication, and failover. She also talks about what DB developers should consider when choosing distributed databases.

If LLMs Do the Easy Programming Tasks - How are Junior Developers Trained? What Have We Done?

In this podcast Michael Stiefel spoke to Anthony Alford and Roland Meertens about the future of software development and the training of new developers, in a world where Large Language Models heavily contribute to software development.