Today at Stanford, we released Levanter, a Jax-based framework for training foundation models. It is now open-source on Github under Apache 2.0.
Read MoreRelease of Levanter 1.0
Product
The Making of LandingLens AI Platform: Motivation and My Favorite Features
in Product
Last week, at Landing AI, we publicly launched our flagship AI platform, LandingLens. This all-in-one platform empowers users to build a computer vision application from start to deployment. In this blog, I want to share the motivation behind building this AI platform as well as highlight a few key features that I truly enjoy!
Read MoreTwo Types of Full Stack Machine Learning Engineering
There are two types of Full Stack Machine Learning Engineering in my mind — one vertical and one horizontal
Read More从 AutoML 项目看谷歌的战略和人工智能技术的全民普及
AutoML 让机器可以自动化地为每个新的应用场景开发机器学习模型，这是谷歌“人工智能优先”战略的重要一步。
Read MoreExplainability and Trust in Products
For companies developing machine learning products, a key factor is to gain the users’ trust that the products will work for the best interest of the users and protect their privacy and security.
Read MoreFly in the Air
in Product
DJI does a great job to revolutionize the consumer-level drone. I am excited to take a trial of the product Mavic Air, but what I am more looking forward to, is the opportunity of exploring the world with freedom and joy.
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