Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

For more information on Hyperscale Data and its subsidiaries, Hyperscale Data recommends that stockholders, investors and any other interested parties read Hyperscale Data's public filings and press ...

Public cloud spending is on a steep curve, rising from $595.7 billion in 2024 to $723.4 billion in 2025, and the fastest growing line items are often the ones n ...

Zyphra today announced the release of ZUNA, the company's first foundation model trained on brain data. ZUNA significantly improves the quality and usability of electroencephalography (EEG) data while ...

By consolidating 12+ language ecosystems into a single repository, the ActiveState Catalog enables DevSecOps teams to slash CVE exposure by up to 99% and ...

Physical AI is not merely a product feature. It is an architectural shift. When intelligence lives next to the phenomenon it observes, we gain what the cloud alone cannot consistently provide: low ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.