Posts in: Talks

NOV 29, 2023

New video demo: Transfer Learning with Biomedical Images

By Isha Ghodgaonkar

See how the Determined platform simplifies transfer learning.

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NOV 15, 2023

New video talk: Ensuring Reproducibility for Enterprise AI at Scale

By Jimmy Whitaker

Learn about the challenges and best practices in ML reproducibility and transparency.

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NOV 08, 2023

New video demo: LLM Batch Inference with Determined

By Corey Staten

Optimize inference using Determined’s Core API + Hugging Face Transformers

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OCT 23, 2023

New video demo: End-to-end MLOps using Pachyderm, Determined, and KServe

By Andrew Mendez

Learn how the PDK stack works at a high level.

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DEC 03, 2020

Tianqi Chen on Efficiently Deploying Models on Specialized Hardware

By Ameet Talwalkar

We sit down with TQ Chen, creator of XGBoost, MXNet, and TVM, to discuss machine learning model deployment and specialized hardware.

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NOV 12, 2020

Neil Conway on the Challenges of Deep Learning Model Development

By Ameet Talwalkar, Neil Conway

We talk with Determined co-founder Neil Conway about open source deep learning, ML on Kubernetes, and the keys to accelerating deep learning model development.

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OCT 29, 2020

Alex Ratner on Programmatic Data Labeling for Machine Learning

By Ameet Talwalkar

We chat with Alex Ratner, CEO of Snorkel AI, on the importance of programmatic data labeling in a machine learning workflow.

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OCT 15, 2020

Joe Hellerstein on Data Wrangling and Reproducibility

By Ameet Talwalkar

Our podcast conversation with Joe Hellerstein, co-founder of Trifacta, on the unique challenges of data preparation and reproducibility.

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SEP 30, 2020

A Conversation With Dave Patterson

By Ameet Talwalkar

Join us here for our podcast series! These conversations will cover a wide range of areas in computer science and machine learning with some of the brightest minds in academia and industry. Our first episode is with 2017 Turing Award winner Dave Patterson.

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JUN 04, 2019

Scalable deep learning

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