LLMs
sari and
LLMs
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
“The fact that these things model language is probably one of the biggest discoveries in history. That you (LLM) can learn language by just predicting the next word … — that’s just shocking to me.”
- Mikhail Belkin, computer scientist at the University of California
Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xiereadwise-assets.s3.amazonaws.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
1/ AI exploded on the scene at the end of 2022, with applications like @OpenAI's ChatGPT taking the world by storm.
2023 is poised to be the most exciting year of AI yet! 🎉
Here's mine and @vivek7ue's look at the lay of the land + what might happen next...
👀🧵... See more
One way to think about (LLM) is that about 3 years ago, aliens landed on Earth. They handed over a USB stick and then disappeared. Since then we’ve been poking the thing they gave us with a stick, trying to figure out what it does and how it works.
March 2023 AI Overview for Boards
docs.google.comnice overview of why every company needs an AI strategy