Google’s new AI training method helps small models tackle complex reasoning

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
Nature

'Tiny' AI model beats massive LLMs at logic test

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
TheServerSide

DP-100 Practice Tests on Data Scientist Associate Exam Topics

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
TheServerSide

Sample Questions for ISC2's Systems Security Certified Practitioner (SSCP) Exam

Community driven content discussing all aspects of software development from DevOps to design patterns. Study thoroughly, practice consistently, and gain hands-on experience with security tools, ...

I tried to outsmart the social media algorithm. Here's how it outsmarted me

Armed with a burner phone and a fake name, I set out to learn how Instagram’s algorithm really works. This is what happened ...
IEEE

Physical Adversarial Example in Car Plate Recognition Systems Based on SA Algorithm

Abstract: Currently, deep learning technology has become a crucial branch of artificial intelligence, particularly in consumer electronics, where it brings numerous innovative applications through ...
GitHub

rogerkratz1-sys/block-insertion-theorem

block-insertion-theorem is a reproducible reference implementation of a combinatorial result about block insertion and counting linear extensions of posets. The repository provides a formal JSON ...
IEEE

A Novel Motion Recognition and Tracking Algorithm based on Multi Example Learning and Adaptive Neural Network

Abstract: By consulting a large number of domestic and foreign references, conducting in-depth research on the relevant knowledge of target tracking, understanding the working principle and derivation ...