Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data. However, ...

Pretrained universal machine-learning interatomic potentials (MLIPs) have revolutionized computational materials science by enabling rapid atomistic simulations as efficient alternatives to ab initio ...

Fine-tuning an AI model is like teaching a student who already knows a lot to become an expert in a specific subject. Instead of starting from scratch, we take a model that has learned from a vast ...

Thinking Machines Lab Inc., the artificial intelligence startup led by former OpenAI executive Mira Murati, today introduced its first commercial offering. Tinker is a cloud-based service that ...

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Microsoft has announced significant enhancements to model fine-tuning within Azure AI Foundry, including upcoming support for Reinforcement Fine-Tuning (RFT). Microsoft Azure AI Foundry already ...

While tech giants lock smaller businesses out of advanced AI, Tether is using localized fine-tuning and P2P networks to democratize superintelligence for billions of people.

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 ...

Using calculated infrared spectroscopy as input, the proposed machine learning framework, consisting of multiple blocks and a fully connected layer could accurately predict target structural and ...

Thinking Machines Lab, a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product—a tool called Tinker that automates the creation of custom frontier AI ...

A strategy borrowed from generative AI — train cheaply on the familiar, then fine-tune on the hard problem — can cut the number of expensive physics simulations needed by nearly a factor of ten. But a ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new study by Anthropic shows that ...