When the Model Is Confident and Wrong: A Practitioner Guide to LLM Output Reliability

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.
TDWI

From Pilot to Production: Why LLM Features Stall, and a Readiness Checklist for Data Leaders

Pilots that looked promising do not always survive the transition, and the failure pattern is consistent enough that data leaders can plan around it. This article describes three failure modes that ...

The new database world according to Google: Inexact queries and AI in everything

Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...
AOL

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

OpenAI's fourth large language model (LLM), GPT-4, took an estimated 50 gigawatt-hours to train, or the equivalent of 5,000 American homes' yearly power consumption. That was in 2023. Since then, the ...
Bleeping Computer

Drupal: Critical SQL injection flaw now targeted in attacks

Drupal is warning that hackers are attempting to exploit a "highly critical" SQL injection vulnerability announced earlier this week. The content management system (CMS) project published a PSA on May ...
Nature

State media control shapes LLM behaviour by influencing training data

State control of the media is shown to alter the training data of large language models (LLMs) through its impact on the information environment. This has a substantial effect on the output of LLMs, ...
Military.com

CMSAF Wolfe: Air Force Rethinking Training Model

Chief Master Sergeant of the Air Force David Wolfe sits down with Military.com to discuss Air Force training. Credit: Shane Thin, Air & Space Forces Association The Air Force is exploring changes that ...
IEEE

Bauhaus: Restructuring Vector Database for LLM Retrieval on CXL-Based Tiered Memory

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...
Geeky Gadgets

Why Stanford Researchers Say AI Architecture Isn’t the Real Key to Performance

Stanford University’s recent research, conducted in collaboration with Tsinghua University, has revealed a surprising shift in how we evaluate the performance of large language models (LLMs). Rather ...
CNBC

Meta is tracking employee keystrokes on Google, LinkedIn, Wikipedia as part of AI training initiative

As part of a project to train its AI models, Meta plans to capture employee use of popular sites and apps like Google and Wikipedia, according to internal documents viewed by CNBC. Reuters previously ...
Reuters

Meta to start capturing employee mouse movements, keystrokes for AI training data

NEW YORK, April 21 (Reuters) - Meta (META.O), opens new tab is installing new tracking software on U.S.-based employees’ computers to capture mouse movements, clicks and keystrokes for use in training ...
Semiconductor Engineering

Silent Data Corruption: A Major Reliability Challenge in Large-Scale LLM Training (TU Berlin)

A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by researchers at Technische Universitat Berlin. “As Large Language Models (LLMs) ...