Sparse attention is one of the most promising strategies to unlock long-context processing and long generation reasoning in LLMs.
We performed the most comprehensive study on training-free sparse attention to date.
Here is what we found:
What if AI models could figure out answers to your questions BEFORE you even ask them? 🤔
An incredible new research paper introduces "Sleep-Time Compute," allowing models to think while they aren't being used.
Here's what you need to know 🧵👇
Once we gain trust in an AI product, We receive a variety of proposals from the same companies, “Can we use AI to improve the efficiency of this business as well?”
You can change any label in any project in LabelStuido. Rewrite the 5th and 6th lines in the code to use.
BASE_URL = “http://localhost:8080” # Replace with the URL and port of LabelStudio for you.
API_KEY = “xxxxx” #Replace here with your API key
https://t.co/Gfwr07PzaP
AI development is difficult to monetize in order to obtain a return commensurate with development costs. Many AI startups are not profitable in the AI business itself. I think so.