MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Fine-tuning large language models (LLMs) might sound like a task reserved for tech wizards with endless resources, but the reality is far more approachable—and surprisingly exciting. If you’ve ever ...

For decades, psychologists have argued over a basic question. Can one grand theory explain the human mind, or do attention, ...

Postdoctorate Viet Anh Trinh led a project within Strand 1 to develop a novel neural network architecture that can both recognize and generate speech. He has since moved on from iSAT to a role at ...

Artificial intelligence company Cohere unveiled significant updates to its fine-tuning service on Thursday, aiming to accelerate enterprise adoption of large language models. The enhancements support ...

Through his Google fellowship, Stoica seeks to apply model merging to create a cutting-edge vision encoder. A vision encoder converts image or video data into numerical representations that computers ...

Industry 4.0 depends on continuous data exchange between sensors, machines, production lines, and enterprise systems, but much of this data cannot be centralized due to privacy, security, and ...

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 ...