
A podcast from DagsHub about bringing machine learning into the real world. Each episode features a conversation with top data science and machine learning practitioners, who'll share their thoughts, best practices, and tips for promoting machine learning to production
| Publishes | Monthly | Episodes | 35 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Category | Technology | ||||

Dean Pleban and Liron Itzhakhi Allerhand explore what it really takes to move LLMs into production. They cover how to define clear requirements, prep data for RAG, engineer effective prompts, and evaluate model performance using concrete metrics. The... more
In this episode, Dean and Natanel Davidovits explore the intricacies of AI and machine learning, focusing on model efficiency, the use of APIs versus self-hosting, and the importance of defining success metrics in real-world applications. They discus... more
In this episode, Dean speaks with Jeremie Dreyfuss, Head of AI Research and Development at Intel, about the evolving role of AI in the enterprise. Jeremie shares insights into scaling machine learning solutions, the challenges of building AI infrastr... more
In this episode, Dean speaks with Dror Haor, CTO at SeeTree, about the challenges of deploying AI in agriculture at scale. They explore how SeeTree integrates AI and sensor fusion to manage vast amounts of remote sensing data, helping farmers improve... more
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #165 |
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These podcasts share a similar audience with The MLOps Podcast:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Hidden Brain
The MLOps Podcast launched 2 years ago and published 35 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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