Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
InfoWorld

Surveying the LLM application framework landscape

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...
Visual Studio Magazine

Microsoft Pushes Open Source 'Semantic Kernel' for AI LLM-Backed Apps

Since recently introducing the open source Semantic Kernel to help developers use AI large language models (LLMs) in their apps, Microsoft has been busy improving it, publishing new guidance on how to ...
datanami.com

AtScale Claims Text-to-SQL Breakthrough with Semantic Layer

One of the bottlenecks in getting value out of generative AI is the difficulty in turning natural language into SQL queries. Without detailed contextual understanding of the data, the text is ...
Forbes

How A Universal Semantic Layer Helps AI Understand Data

Generative AI (GenAI) and large language models (LLMs) rocketed onto the scene in 2023, and boards now want returns from the technology yesterday. But AI disillusionment is brewing, with many projects ...
InfoWorld

Building LLM applications with vector search in Azure Cognitive Services

Tools like Semantic Kernel, TypeChat, and LangChain make it possible to build applications around generative AI technologies like Azure OpenAI. That’s because they allow you to put constraints around ...