Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Amazon.com Inc. engineers are developing a large language model with 2 trillion parameters, Reuters reported this morning. The model is believed to be known as Olympus internally. Amazon is reportedly ...

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...

After months of teasing and an alleged leak yesterday, Meta today officially released the biggest version of its open source Llama large language model (LLM), a 405 billion-parameter version called ...

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 ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

Forbes contributors publish independent expert analyses and insights. Amir is Founder of AI unicorn Avathon & Boeing/SC JV, SkyGrid. In the late 1990s, as an undergrad at The University of Texas at ...

ChemELLM, a 70-billion-parameter LLM tailored for chemical engineering, outperforms leading LLMs (e.g., Deepseek-R1) on ChemEBench across 101 tasks, trained on ChemEData’s 19 billion pretraining and 1 ...

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...

Sometimes the best way to solve a complex problem is to take a page from a children’s book. That’s the lesson Microsoft researchers learned by figuring out how to pack more punch into a much smaller ...