The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
VnExpress International on MSN

Harvard University offers 7 free data science courses

Harvard University is providing seven free online courses in data science, each running for eight to nine weeks and requiring ...

Tsinghua and Microsoft researchers train AI model using synthetic data, Nvidia chips

The team's SynthSmith data pipeline develops a coding model that overcomes scarcity of real-world data to improve AI models ...
Observer

Microsoft’s Maia Chip Targets A.I. Inference as Big Tech Rethinks Training

A.I. chip, Maia 200, calling it “the most efficient inference system” the company has ever built. Microsoft claims the chip ...
JSTOR Daily

A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE

It has been estimated that about 30% of the genes in the human genome are regulated by microRNAs (miRNAs). These are short RNA sequences that can down-regulate the levels of mRNAs or proteins in ...

The Rise Of Distributed Data Centers In The AI Era

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...
TechRadar

What is AI inference at the edge, and why is it important for businesses?

AI inference at the edge refers to running trained machine learning (ML) models closer to end users when compared to traditional cloud AI inference. Edge inference accelerates the response time of ML ...