News-Medical.Net on MSN

NSLLMs: Bridging neuroscience and LLMs for efficient, interpretable AI systems

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).
Morning Overview on MSN

A quantum trick is shrinking bloated AI models fast

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

TeleAI Unveils Breakthrough Metric to Quantify AI “Talent” in Large Language Models

In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has ...
SiliconANGLE

Meta debuts slimmed-down Llama models for low-powered devices

Meta Platforms Inc. is striving to make its popular open-source large language models more accessible with the release of “quantized” versions of the Llama 3.2 1B and Llama 3B models, designed to run ...
VentureBeat

Here are 3 critical LLM compression strategies to supercharge AI performance

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In today’s fast-paced digital landscape, businesses relying on AI face ...
Devdiscourse

Large language models move closer to clinical use in nutrition assessment

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
Forbes

Scaling Small Language Models (SLMs) For Edge Devices: A New Frontier In AI

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.
Semiconductor Engineering

Small Vs. Large Language Models

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...