3min chapter

MLOps.community  cover image

Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

MLOps.community

CHAPTER

Is LLM the Next Best Thing After Sliced Bread?

Emmanuel Mason: Sometimes we get excited about the potential of a technology without necessarily considering exactly what kinds of problems it's best suited to solve. He says LLMs are useful for sorting through much larger spaces of data where you may not have as much a priority understanding of like what kinds of entities are important and what things you, what relationships you want to identify. But if you are going to get into the knowledge path, you want to extract knowledge, structure the knowledge, and answer questions with giving concrete evidence.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode