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HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities

AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training...

How to Optimize Language Model Size for Deployment

The rise of language models, and more specifically large language models (LLMs), has been of...

How to Extract Key Information from Text Using Named Entity Recognition (NER) with spaCy

Have you ever wished you could automatically pull out names, places, dates, and organizations from...

How to Build a Basic AI Stock Market Analyzer Using APIs

A Step-by-Step Guide to Fetching Stock Data and Generating AI-Powered Analysis with JavaScript and OpenAI...

How The Ottawa Hospital uses AI ambient voice capture to reduce physician burnout by 70%, achieve 97% patient satisfaction

TOH is using Microsoft’s DAX Copilot to capture physician-patient conversations and generate draft clinical notes...

How runtime attacks turn profitable AI into budget black holes

AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI.Read...

How OpenAI’s red team made ChatGPT agent into an AI fortress

Discover OpenAI’s red team blueprint: How 110 coordinated attacks and 7 exploit fixes created ChatGPT...

How Much Can We Forget about Data Contamination?

arXiv:2410.03249v4 Announce Type: replace-cross Abstract: The leakage of benchmark data into the training data has...

How Do LLMs Really Reason? A Framework to Separate Logic from Knowledge

Unpacking Reasoning in Modern LLMs: Why Final Answers Aren’t Enough Recent advancements in reasoning-focused LLMs...

Hospital cyber attacks cost $600K/hour. Here’s how AI is changing the math

How Alberta Health Services is using advanced AI to bolster its defenses as attackers increasingly...
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