Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...
Central to Collate’s new capabilities is the launch of AI Studio , which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...
Under the hood, the company uses what it calls the Context Engine, a powerful semantic search capability that improves AI understanding of codebases beyond simple static and keyword searches used by ...
The meaning of language is represented in regions of the cerebral cortex collectively known as the ‘semantic system’. However, little of the semantic system has been mapped comprehensively, and the ...
“Turn your enterprise data into production-ready LLM applications,” blares the LlamaIndex home page in 60 point type. OK, then. The subhead for that is “LlamaIndex is the leading data framework for ...
Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...
Together with Snowflake, Sigma and other industry leaders are driving a new open standard for semantic data, ensuring organizations can define metrics once, govern centrally, and analyze everywhere ...
AtScale, the Universal semantic layer provider joins industry initiative to lead the advancement of vendor-neutral metrics for enterprise AI and BI AtScale, the leading provider of universal semantic ...
Microsoft Fabric will phase out Default Semantic Models by the end of December 2025. Beginning August 8, 2025, new warehouses, lakehouses, SQL databases and mirrored databases will no longer ...
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