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Machine Learning Engineered
Charlie You
32 episodes
9 months ago
This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
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All content for Machine Learning Engineered is the property of Charlie You and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
Show more...
Technology
Business,
Careers,
Science
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Moin Nadeem (MIT): The extraordinary future of natural language models
Machine Learning Engineered
1 hour 24 minutes 40 seconds
5 years ago
Moin Nadeem (MIT): The extraordinary future of natural language models
Moin discusses his research in NLP, how language models can learn to reason with knowledge graphs, and what the future of the field looks like given recent advancements in AI hardware.
Machine Learning Engineered
This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.