LLMs
sari and
LLMs
Language models need auteurs and creative directors, not “thumbs up if you liked this personality”
Nabeel S. Qureshix.compersonality as the moat
OpenAI vs. Anthropic vs. Cohere
sacra.comUsing LLM products today feels a lot like using early cars in the 1800s: clearly magical, clearly going to change the world, and really hard to drive.
The first cars didn’t have steering wheels (they hadn’t been invented yet), so you’d steer them with a big lever called a tiller. The problem with tillers is that they are imprecise, which made... See more
The first cars didn’t have steering wheels (they hadn’t been invented yet), so you’d steer them with a big lever called a tiller. The problem with tillers is that they are imprecise, which made... See more
Meta AI released LLaMA ... and they included a paper which described exactly what it was trained on. It was 5TB of data.
2/3 of it was from Common Crawl. It had content from GitHub, Wikipedia, ArXiv, StackExchange and something called “Books”.
What’s Books? 4.5% of the training data was books. Part of this was Project Gutenberg, which is public