From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the recently revealed feature ...

If you are interested in learning more about how you can easily and cost effectively fine tune any large language model (LLM). You might be interested in looking ...

What if you could take a innovative language model like GPT-OSS and tailor it to your unique needs, all without needing a supercomputer or a PhD in machine learning? Fine-tuning large language models ...

HOUSTON – (Jan. 31, 2022) – Rice University scientists are using machine-learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating. The process ...

A Microsoft and Amazon joint effort makes neural networks easier to program and use with the MXNet and Microsoft Cognitive Toolkit frameworks Deep learning systems have long been tough to work with, ...

Scientists are using machine learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating. Rice University scientists are using machine-learning ...