Powering AI with the World's Largest Computer Chip with Joel Hestness - #684

Powering AI with the World's Largest Computer Chip with Joel Hestness - #684

Today we're joined by Joel Hestness, principal research scientist and lead of the core machine learning team at Cerebras. We discuss Cerebras’ custom silicon for machine learning, Wafer Scale Engine 3, and how the latest version of the company’s single-chip platform for ML has evolved to support large language models. Joel shares how WSE3 differs from other AI hardware solutions, such as GPUs, TPUs, and AWS’ Inferentia, and talks through the homogenous design of the WSE chip and its memory architecture. We discuss software support for the platform, including support by open source ML frameworks like Pytorch, and support for different types of transformer-based models. Finally, Joel shares some of the research his team is pursuing to take advantage of the hardware's unique characteristics, including weight-sparse training, optimizers that leverage higher-order statistics, and more. The complete show notes for this episode can be found at twimlai.com/go/684.

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Visual Generative AI Ecosystem Challenges with Richard Zhang - #656

Visual Generative AI Ecosystem Challenges with Richard Zhang - #656

Today we’re joined by Richard Zhang, senior research scientist at Adobe Research. In our conversation with Richard, we explore the research challenges that arise when regarding visual generative AI fr...

20 Nov 202340min

Deploying Edge and Embedded AI Systems with Heather Gorr - #655

Deploying Edge and Embedded AI Systems with Heather Gorr - #655

Today we’re joined by Heather Gorr, principal MATLAB product marketing manager at MathWorks. In our conversation with Heather, we discuss the deployment of AI models to hardware devices and embedded A...

13 Nov 202338min

AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654

AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654

Today we’re joined by Yoshua Bengio, professor at Université de Montréal. In our conversation with Yoshua, we discuss AI safety and the potentially catastrophic risks of its misuse. Yoshua highlights ...

6 Nov 202348min

Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653

Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653

Today we’re joined by Miriam Friedel, senior director of ML engineering at Capital One. In our conversation with Miriam, we discuss some of the challenges faced when delivering machine learning tools ...

30 Okt 202344min

Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652

Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652

Today we’re joined by Riley Goodside, staff prompt engineer at Scale AI. In our conversation with Riley, we explore LLM capabilities and limitations, prompt engineering, and the mental models required...

23 Okt 202339min

Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651

Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651

Today we’re joined by Sara Hooker, director at Cohere and head of Cohere For AI, Cohere’s research lab. In our conversation with Sara, we explore some of the challenges with multilingual models like p...

16 Okt 20231h 18min

Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650

Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650

Today we’re joined by Luke Zettlemoyer, professor at University of Washington and a research manager at Meta. In our conversation with Luke, we cover multimodal generative AI, the effect of data on mo...

9 Okt 202338min

Pushing Back on AI Hype with Alex Hanna - #649

Pushing Back on AI Hype with Alex Hanna - #649

Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tacklin...

2 Okt 202349min

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