Skip to content
TrackPodcasts
technologyMay 28, 202456:18pending

787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann

About this episode

MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools. This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • What MLOps is [03:51] • About LLMOps [12:06] • About LlamaIndex and Ollama [18:29] • Insights from Demetrios’ MLOps survey [20:49] • Guidance for using third-party APIs [40:18] • Recommendations for building an online community in tech and AI [47:07] Additional materials: www.superdatascience.com/787

Get every episode summarized

Each time Super Data Science: ML & AI Podcast with Jon Krohn publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann

Super Data Science: ML & AI Podcast with Jon Krohn

0:00
56:18

More episodes

More from Super Data Science: ML & AI Podcast with Jon Krohn

View all episodes →