Energy Star Ratings for AI Models with Sasha Luccioni - #687

Energy Star Ratings for AI Models with Sasha Luccioni - #687

Today, we're joined by Sasha Luccioni, AI and Climate lead at Hugging Face, to discuss the environmental impact of AI models. We dig into her recent research into the relative energy consumption of general purpose pre-trained models vs. task-specific, non-generative models for common AI tasks. We discuss the implications of the significant difference in efficiency and power consumption between the two types of models. Finally, we explore the complexities of energy efficiency and performance benchmarking, and talk through Sasha’s recent initiative, Energy Star Ratings for AI Models, a rating system designed to help AI users select and deploy models based on their energy efficiency. The complete show notes for this episode can be found at http://twimlai.com/go/687.

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ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203

ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203

Today, we’re joined by Stuart Reid, Chief Scientist at NMRQL Research. NMRQL is an investment management firm that uses ML algorithms to make adaptive, unbiased, scalable, and testable trading decisi...

26 Nov 201858min

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell. In our conversation, we explore the evolution of analytics and data science at Sh...

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Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

In this episode of our AI Platforms series, we’re joined by Leemay Nassery, Senior Engineering Manager and head of the recommendations team at Comcast. In our conversation, Leemay and I discuss just h...

19 Nov 201847min

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

In this episode of our AI Platforms series, we’re joined by Bee-Chung Chen, Principal Staff Engineer and Applied Researcher at LinkedIn. Bee-Chung and I caught up to discuss LinkedIn’s internal AI aut...

15 Nov 201847min

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199

In this episode of our AI Platforms series we’re joined by OpenAI’s Head of Infrastructure, Christopher Berner. In our conversation, we discuss the evolution of OpenAI’s deep learning platform, the co...

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Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198

Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198

In this episode of our AI Platforms series, we’re joined by Atul Kale, Engineering Manager on the machine learning infrastructure team at Airbnb. In our conversation, we discuss Airbnb’s internal mac...

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Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197

Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197

In the kickoff episode of our AI Platforms series, we’re joined by Aditya Kalro, Engineering Manager at Facebook, to discuss their internal machine learning platform FBLearner Flow. FBLearner Flow is ...

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Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I spoke about her work in the field of geometric statistics in ML, specifically the application o...

1 Nov 201843min

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