Today we continue our coverage of the AWS ML Summit joined by Chris Fregly, a principal developer advocate at AWS, and Antje Barth, a senior developer advocate at AWS.
In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. In the book, Chris and Antje demonstrate how to reduce cost and improve performance while successfully building and deploying data science projects.
We also discuss the release of their new Practical Data Science Specialization on Coursera, managing the complexity that comes with building real-world projects, and some of their favorite sessions from the recent ML Summit.
Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627
Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626
Are Large Language Models a Path to AGI? with Ben Goertzel - #625
Open Source Generative AI at Hugging Face with Jeff Boudier - #624
Generative AI at the Edge with Vinesh Sukumar - #623
Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622
Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621
Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620
Robotic Dexterity and Collaboration with Monroe Kennedy III - #619
Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618
Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615
How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614
AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613
AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612
Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611
Service Cards and ML Governance with Michael Kearns - #610
Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609
Will ChatGPT take my job? - #608
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