Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.

On the other side of the multiverse, over in the timeline where sharing is caring and where the downhill battle against the copyright trolls was won and where there’s an efficient peer-to-peer system for songs and videos, every now and then they take a look over at our dimension and they glance a li’l incredulously at what the heck we’re doing with our huge fossil-burning wasteful data centers to manage streaming and distribution and then other huge wasteful data centers make sure to keep it that way, to tear down anyone who’d dare to help distribute it.

Always ragging on bad anti-ML arguments but here’s a great one.

[I]f it’s mindlessly generated and thrust upon someone who didn’t ask for it, slop is the perfect term for it.

Happy about this blog post.

While there are many really good arguments against ML, I’m not stoked that opponents to it have been weaponizing copyright. [Copyright is the enemy][Cite], and while I can understand the perspectives of “any port in a storm” or “desperate times call for desperate measures” or “my enemy’s enemy”, I still get to feel a li’l grumpy about it.

Lecture by Sergey Levine about progress on real-world deep RL. Covers these papers:A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinfor…

Using this tactic, the researchers showed that there are large amounts of privately identifiable information (PII) in OpenAI’s large language models. They also showed that, on a public version of ChatGPT, the chatbot spit out large passages of text scraped verbatim from other places on the internet.

Clogs in the cogs! 🥾👡👠⚙️

In this article, we will briefly introduce the field of artificial intelligence, particularly in computer vision, the challenges involved, the existing modern solutions to these challenges and how…

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