EurekAlert!

Exploiting large language model with reinforcement learning for generative job recommendations

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
USA Today

Building Large-Scale Machine Learning/AI Systems with Niloy Gupta

Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Geeky Gadgets

Learn the Secrets of Building Your Own GPT-Style AI Large Language Model

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...
Hosted on MSN

The 70-20-10 rule: How to apply this learning model in your team

The 70-20-10 rule is a powerful framework for team development, emphasizing that 70% of learning occurs through on-the-job experiences, 20% through mentorship, and 10% via formal education. This model ...