Deep Learning with Yacine on MSNOpinion

Can Large Language Models Learn After Training? Explained Simply

Discover whether large language models like GPT can actually learn or update their knowledge after training. This video ...
The Daily CardinalOpinion

Large language models are demons. But not like that

The easy way out through AI and LLMs is a roadblock to developing research and reasoning skills that are required in ...
Healthcare IT News

LLMs have their uses, but healthcare needs 'small language models' too, expert says

An executive who in his career has had oversight of nearly 70% of America's healthcare data explains the concept, and why ...
Tech Xplore

Researchers propose a new model for legible, modular software

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...
Fast Company

Are large language models the problem, not the solution?

There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...
Search Engine Land

What is LLMO? Optimize content for AI & large language models

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...
9to5Mac

Apple’s new language model can write long texts incredibly fast

In a new study, Apple researchers present a diffusion model that can write up to 128 times faster than its counterparts. Here’s how it works. Here’s what you need to know for this study: LLMs such as ...
SiliconANGLE

Thinking Machines launches Tinker language model fine-tuning service

Thinking Machines Lab Inc., the artificial intelligence startup led by former OpenAI executive Mira Murati, today introduced its first commercial offering. Tinker is a cloud-based service that ...
NextBigFuture

Analog in-memory Computing Attention Mechanism for Fast and Energy-efficient Large Language Models

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
VentureBeat

DeepSeek-V3.1-Terminus launches with improved agentic tool use and reduced language mixing errors

DeepSeek, the Chinese AI startup spun off of Hong Kong high-frequency trading firm High Flyer Capital Management (and which uses a whale icon for its logo), is back today with a new large language ...
Computerworld

OpenAI admits AI hallucinations are mathematically inevitable, not just engineering flaws

In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational ...
IEEE

A Personality Traits-Driven Conflict Quadrant Diagram by Large Language Models for Personalized Feedback in Group Decision-Making

Abstract: In group decision-making (GDM), the opinions of decision-makers (DMs) are prone to having controversies and conflicts. Identifying individual personality traits can better predict the ...