Gradient Dissent: Conversations on AI

Chip Huyen — ML Research and Production Pipelines


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Chip Huyen is a writer and computer scientist currently working at a startup that focuses on machine learning production pipelines. Previously, she’s worked at NVIDIA, Netflix, and Primer. She helped launch Coc Coc - Vietnam’s second most popular web browser with 20+ million monthly active users. Before all of that, she was a best selling author and traveled the world.
Chip graduated from Stanford, where she created and taught the course on TensorFlow for Deep Learning Research.
Check out Chip's recent article on ML Tools: https://huyenchip.com/2020/06/22/mlops.html
Follow Chip on Twitter: https://twitter.com/chipro
And on her Website: https://huyenchip.com/
Visit our podcasts homepage for transcripts and more episodes!
www.wandb.com/podcast
🔊 Get our podcast on Apple and Spotify!
Apple Podcasts: https://bit.ly/2WdrUvI
Spotify: https://bit.ly/2SqtadF
We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!
👩🏼‍🚀Weights and Biases:
We’re always free for academics and open source projects. Email [email protected] with any questions or feature suggestions.
- Blog: https://www.wandb.com/articles
- Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
- Continue the conversation on our slack community - http://bit.ly/wandb-forum
🎙Host: Lukas Biewald - https://twitter.com/l2k
👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
📹Editor: Cayla Sharp - http://caylasharp.com/
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Gradient Dissent: Conversations on AIBy Lukas Biewald

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