While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Google's Gemini 2.0 Flash model, which outperforms the previous version and is 2x faster, is now the default for all Gemini app users. Back in December, Google first announced the Gemini 2.0 Flash ...

ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...

Infosecurity spoke to several experts to explore what CISOs should do to contain the viral AI agent tool’s security vulnerabilities ...

Lite, its fastest and most cost-efficient AI model, at $0.25 per million tokens and 2.5x faster than Gemini 2.5 Flash.

Google has launched Gemini Embedding 2, its first natively multimodal embedding model supporting text, images, video, audio, ...

If you care about productivity, it's time you learn how to 'context-prompt' your Google Drive ...

Google is testing a Chrome overlay prototype that connects to Gemini Live, which could allow voice conversations with AI ...

Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.