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sdtimes.com /1 month ago

Most Semantic Layers Were Built for BI: What a Semantic Layer for AI Requires

When semantic layers emerged, their role was to provide business users with a consistent, governed view of data across BI tools and dashboards. Metrics were standardized, departmen...

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rudderstack.com /1 month ago

The semantic layer isn't enough: What AI agents actually need

Semantic layers generate query SQL but leave identity, features, and governance to someone else. Here's the five-layer architecture AI agents actually need.

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javacodegeeks.com /1 week ago

LLM Tool Call Reasoning with Embabel AI

Large language models become significantly more useful when they can interact with external tools instead of only generating text. A model can decide that it needs information from...

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englishgrammar.org /1 month ago

100 Words Every Computational Linguist Should Know

From tokenization to pragmatics, this list hints at the terms shaping computational linguistics, and why a few may surprise you most.

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testmuai.com /4 weeks ago

SLM vs LLM: Choosing the Right Small Language Model Size

A small language model runs on ordinary hardware fast enough to serve one user, and an LLM is one that does not. SLM vs LLM compared, with 200 measured runs.

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morpht.com /1 month ago

Morpht: Building a semantic search chatbot with Drupal AI

The Drupal AI module provides everything needed for a RAG chatbot: AI Search embeds your content into a vector database, AI Assistant API wraps an LLM with a grounded search prompt...

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9to5mac.com /1 week ago

LM Studio adds GLM-5.3-Flash to Bionic, with image support and 1M-token context

LM Studio has added Z.ai’s new GLM-5.3-Flash model to Bionic, its AI agent platform, bringing multimodal input, a 1 million-token context window, and significantly lower pricing th...

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