
Sign up to save your podcasts
Or
Hugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate state-of-the-art ML models and is a central hub for researchers and developers.
Sayak Paul is a Machine Learning Engineer at Hugging Face and a Google Developer Expert. He joins the show today to talk about how he entered the ML field, diffusion model training, the transformer-based architecture, and more.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .
Please click here to see the transcript of this episode.
Sponsorship inquiries: [email protected]
The post Hugging Face with Sayak Paul appeared first on Software Engineering Daily.
4
44 ratings
Hugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate state-of-the-art ML models and is a central hub for researchers and developers.
Sayak Paul is a Machine Learning Engineer at Hugging Face and a Google Developer Expert. He joins the show today to talk about how he entered the ML field, diffusion model training, the transformer-based architecture, and more.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .
Please click here to see the transcript of this episode.
Sponsorship inquiries: [email protected]
The post Hugging Face with Sayak Paul appeared first on Software Engineering Daily.
41 Listeners
28,378 Listeners