How to train your dragon... er, model
Plus, practical guides for using and building with AI.
We’re back with another edition of Machine Learnings, brought to you by the folks at Heyday.
Heyday is an AI-powered memory assistant that resurfaces content you forgot about while you browse the web.
In a week where Google dropped a music generator from text, we’re in the midst of training models that supercharge your work.
If you’re trying to do the same yourself, take a peek.
-@samdebrule
What we're reading.
1/ Ethan Mollick’s been writing about ChatGPT for the past several weeks. Now he’s dropped a practical guide to using AI tools in contexts inside and outside the classroom. Learn more at One Useful Thing >
2/ Advice for building tools with AI from Lex maker, Nathan Baschez. Read up, builders. Learn more at Every’s Divinations >
3/ What if we can help machines learn with a few well-timed hints? Time to revisit the good old multi-armed bandit problem. Learn more at the Google AI Blog >
4/ Dan Shipper frames the AI craze as more than just the current thing, even if there are feelings of groupthink and high school. Even with that, here’s his take on why you should be excited. Learn more at Every’s Chain of Thought >
5/ Not all massive AI deals hit the mark, even if we’re surprised to see DoNotPay added to that list. Learn more at FastCompany >
6/ We shared last week news of Microsoft’s investment into OpenAI. Here’s the official announcement. Now what? Learn more at Bloomberg >
7/ …Resulting in a significant one from last week. Google’s calling in the big dogs for the first time in 3+ years. Learn more at The New York Times >
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered memory assistant.