A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Forty-six states already use ETS’ suite of Praxis tests to gauge teaching skills and subject-specific content knowledge for teacher certification. The AI test was not specifically developed for ...

Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from ...

This mini PC is small and ridiculously powerful.

At a recent Bengaluru mixer hosted by E2E Networks, NVIDIA, and YourStory, founders and ecosystem builders unpacked the real ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Abstract: Plant diseases remain a significant threat to global agriculture, necessitating rapid and accurate detection to minimize crop loss. This paper presents a lightweight, end-to-end system for ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

This is Part 6 of a series on AI in education. See Part 1 here. In Johann Wolfgang von Goethe's 1797 poem "The Sorcerer's Apprentice" (later immortalized by Walt Disney), a trainee makes a broom fetch ...