Artificial Intelligence #156

Hey, in this issue: Google research, 2022 & beyond; a simple explanation of Reinforcement Learning from Human Feedback; building GPT from scratch, in code, spelled out; best robots of CES 2023; why TensorFlow for Python is dying a slow death; how art schools are dealing with the rise of AI generators; and more.

This issue is sponsored by AtScale and Toloka.

• [Google] Google research, 2022 & beyond: language, vision, and generative models
• [Explained] A simple explanation of Reinforcement Learning from Human Feedback (RLHF)
• [Business] Fearing ChatGPT, Google enlists founders Brin and Page in AI fight
• [Video] Let's build GPT: from scratch, in code, spelled out
• [Sponsored] 2nd Annual Semantic Layer Summit - Free Access 4/26

Get insights from 30+ enterprise data leaders at our free virtual event 4/26. Learn about the benefits of using a semantic layer for analytics from data experts at companies like Apple, Hello Fresh, Call of Duty & more. Don't miss out on this opportunity!

• [Robots] Best robots of CES 2023
• Why TensorFlow for Python is dying a slow death
• [Sponsored] Is MLOps more than just tools? Share your thoughts in a 5-minute survey from Toloka for a chance to win $100
• [Video] Advanced on-device ML made easy with MediaPipe
• Here’s how art schools are dealing with the rise of AI generators

More than 640,000 subscribers are reading this newsletter. If you are building an AI or a data product or service, you can become a sponsor of one of the future newsletter issues and get your business featured in the newsletter. Feel free to reach out to?[email protected]?for more details on sponsorships.

Enjoy the newsletter? Help us make it bigger and better by sharing it with your colleagues and friends.