navigating the latent space of colors 🌈✨
do LLMs “see” colors differently from humans?
we perceive colors through wavelengths while LLMs rely on semantic relationships between words. to explore this, i mapped two color spaces: https://t.co/JSHCFjYu61
Proposing Ctrl-G, a neurosymbolic framework that enables arbitrary LLMs to follow logical constraints (length control, infilling …) with 100% guarantees.
Ctrl-G beats GPT4 on the task of text editing by >30% higher satisfaction rate in human eval.
https://t.co/U6oz3bc935
Claude 3.5 Sonnet with Artifacts is a match made in heaven, here are some amazing ideas and examples:
Claude 3.5 Sonnet 🧵
1
Create a SpaceX Starship lander game in just a few messages with Claude 3.5 Sonnet plus Artifacts
📹 Alex (alexalbert__)... See more
Interesting experiment from Google that creates an NPR-like discussion about any academic paper.
It definitely suggests some cool possibilities for science communication. And the voices, pauses, and breaths really scream public radio. Listen to at least the first 30 seconds. https://t.co/r4ScqenF1d
🚨 AI Policy Alert: The German Federal Office for Information Security publishes the report "Generative AI Models - Opportunities and Risks for Industry and Authorities." Quotes & comments:
"LLMs are trained based on huge text corpora. The origin of these texts and their quality are generally not fully verified due to... See more
We just shipped two new features to our console that I think are going to completely change prompt engineering with Claude.
-Prompt generator: Claude writes your prompts for you.
-Variables: Easily inject external info into your prompt.
Let’s walk through how they work in five... See more