Red Hat’s Sally O’Malley thrives on adaptability and open-source collaboration, shaping innovation with eclectic skills and a ...

With so many enterprises reliant on outdated IT assets that lack resilience, where should organisations start with infrastructure modernisation projects?

Researchers are testing how well the open model can perform scientific tasks — in topics from mathematics to cognitive ...

Labels, also known as tags or annotations, help models understand and interpret data during the training process. For example, labels to train an image recognition model might take the form of ...

Even as large language models have ... they train on data records and transaction logs. So what capabilities do LDMs offer? Here's an overview, as well as a specific example where LDMs power ...

This ‘Genome India’ database, as it is known, will now be available to researchers across the world for investigations and is housed at the Indian Biological Data Centre (IBDC), in Faridabad ...

Training a modern AI system involves ingesting data—sentences, say, or the structure of a protein—that has had some sections hidden. The model makes a guess at what the hidden sections might ...

Still, global climate models can be of local use if combined with enough regional data and the correct expertise, and more people now want to use them that way, in order to understand risk to ...

Data-Juicer is a one-stop system to process text and multimodal data for and with foundation models (typically LLMs). We provide a playground with a managed JupyterLab. Try Data-Juicer straight away ...

and requires no access to your data from cloud. To learn more, book a demo or start a trial. Elementary dbt tests collect metrics and metadata over time, such as freshness, volume, schema changes, ...