787: MLOps: The Job and The Key Tools, with Demetrios Bri...

What this episode covers

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

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Frequently Asked Questions

How long is this episode of Super Data Science: ML & AI Podcast with Jon Krohn?

This episode is 56 minutes long.

When was this Super Data Science: ML & AI Podcast with Jon Krohn episode published?

This episode was published on May 28, 2024.

What is this episode about?

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...

Can I download this Super Data Science: ML & AI Podcast with Jon Krohn episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.