From Centralized Data Centers to Decentralized AI Training: Why Algorithms Are Changing Who Controls AI

The history of AI training has been shaped by the limits of communication. For years, progress depended on placing machines ...
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 ...

Are Large Language Models A Dead End Or Simply Incomplete?

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
Fast Company

OpenAI unveils its new GPT-4.5 large language model

OpenAI released a new base model on Thursday called GPT-4.5, which the company said is its best and smartest model for chat yet. It’s not a reasoning model like OpenAI’s o1 and o3 models, but it can ...
The Conversation

Large language models: how the AI behind the likes of ChatGPT actually works

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...
The Economist

Forget DeepSeek. Large language models are getting cheaper still

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
Virtualization Review

Large Language Model Selection -- Why the Parameter Count Isn't Everything

When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...