LLMs
sari and
LLMs
GitHub - transformerlab/transformerlab-app: Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
github.com
Language models need auteurs and creative directors, not “thumbs up if you liked this personality”
Nabeel S. Qureshix.compersonality as the moat
There’s a lot of hype around AI, and in particular, Large Language Models (LLMs). To be blunt, a lot of that hype is just some demo bullshit that would fall over the instant anyone tried to use it for a real task that their job depends on. The reality is far less glamorous: it’s hard to build a real product backed by an LLM .
Phillip Carter • All the Hard Stuff Nobody Talks About When Building Products With LLMs
An Interview With Daniel Gross and Nat Friedman about the Democratization of AI
Ben Thompsonstratechery.com
People are intrigued by LLMs’ ability to generate new text, change styles, and generally chat. While impressive, turning text written in one style into text written in your own voice (or into legaleze) is essentially taking unstructured data and turning it into more unstructured data. I’m surprised about the lack of attention to doing the exact... See more
Matt Hartman • The power of AI is its ability to turn unstructured data into structured data
March 2023 AI Overview for Boards
docs.google.comnice overview of why every company needs an AI strategy
"A key challenge of (LLMs) is that they do not come with a manual! They come with a “Twitter influencer manual” instead, where lots of people online loudly boast about the things they can do with a very low accuracy rate, which is really frustrating..."
Simon Willison, attempting to explain LLM