Flow’s latest LLM-based classification technology marks another significant milestone on its path to discover, secure and protect data wherever it flows. Contacts Ofir Dahan Flow Security ofir ...

A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to ...

New open-source connector allows AI assistants to interact directly with Treasure Data environment MOUNTAIN VIEW, Calif.

The pragmatic route for most executives seeking their “own LLM” involves solutions tailored to their data via fine-tuning or prompt architecting. Prompt architecting basic best practices ...

Acting as an integration layer between LLMs, the enterprise data assets, and applications Retaining memory during user’s conversational sessions because foundation models can be stateless ...

LLM as data science translator. The Voicebox LLM layer is designed to act effectively as a translator, taking a user’s question — say, in the case of a government agency “what trade on the ...

The platform relies on two core models: one for classification, which identifies how sensitive data is based on context, and another for business reasoning, which assesses user roles, workflows ...

Data readiness for AI is not something you can build once and for all, nor that you can build ahead of time for all your data.” Snorkel Flow’s latest release equips enterprises with a robust ...

REDWOOD CITY, Calif., Oct. 9, 2024 — Snorkel AI announced new capabilities in Snorkel Flow, the AI data development platform, to accelerate the specialization of AI/ML models in the enterprise. These ...

Semantic Kernel distinguishes between semantic functions, templated prompts, and native functions, i.e. the native computer code that processes data for use in the LLM’s semantic functions.