Guide Labs debuts a new kind of interpretable LLM

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Que.com on MSN

Beginner’s Guide to Encoding Categorical Data: Visuals and Code Example

Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...
Radio World

Using NMOS and Ember+ to Control IP Codecs

NMOS and Ember+ both provide engineers with smarter and more flexible IP networks and also increase network security.
The Next Platform

Taalas Etches AI Models Onto Transistors To Rocket Boost Inference

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...
Nature

Neural encoding articles from across Nature Portfolio

Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...
Investopedia

Understanding Simple Random Sampling: Key Advantages & Limitations

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. NicoElNino / Getty Images Simple random sampling gives each member ...