News

How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell
Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.
LLMS.txt isn’t robots.txt: It’s a treasure map for AI
LLMS.txt isn’t like robots.txt at all. It’s more like a curated sitemap.xml that includes only the very best content designed ...
GitHub9d
A collection of tools and models designed to aid in the use of Computer Vision in baseball.
By sharing our annotated data and model weights, we hope to foster innovation in sports ... For more information on it's use for this package, please see Contributing. Imports vary from using package ...
IEEE18d
Text to SQL Transformation Using LLM: A Comparative Research of T5, Seq2Seq, and SQLNet Models
Abstract: The transformation of natural language text into SQL queries is a critical task in the domain of natural language processing and database management. This paper presents a comparative ...
IEEE26d
Context-Aware Authentication Framework for Secure V2V and V2I Communications in Autonomous Vehicles Using LLM
Abstract: The rapid adoption of autonomous vehicles necessitates secure and efficient communication frameworks to protect against cyber threats and to ensure the privacy of data. The following work ...