Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
EurekAlert!

Compression using automatically differentiable tensor networks: Fewer parameters with equal or better performance

(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...
ZME Science on MSN

DeepSeek May Have Found a Way To Make AI Smarter Without Just Making It Bigger

For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...
EDN

A closer look at LLM’s hyper growth and AI parameter explosion

The rapid evolution of artificial intelligence (AI) has been marked by the rise of large language models (LLMs) with ever-growing numbers of parameters. From early iterations with millions of ...