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 ...

The Semantic Layer Is The Key The key to this approach lies in the semantic data model. It is the semantic model that creates a digital twin of the business by translating bits and bytes into ...

The semantic model includes reusable mapping from source systems to target ones for the purpose of transformation, including all relevant business, industry, and system information. That mapping also ...

With the addition of the semantic model abstraction, the directed acyclic graph (DAG) living in dbt will reflect the connection between data tables and the metrics that have been defined by dbt users.

Semantic Kernel as an agent framework. Microsoft’s Semantic Kernel team is building on OpenAI’s Assistant model to deliver one kind of intelligent agent, along with a set of tools to manage ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial ...

When AtScale implemented its semantic layer and OLAP engine to the mix, the accuracy rate of the generated SQL queries jumped to 92.5%, according to the paper. What’s more, the semantic layer-based ...

It could benefit startups, research teams, and individual developers who previously found higher-tier model access cost-prohibitive.

Public Semantic Model GitHub Repository - AtScale Developer Community Edition adds a public GitHub repository for pre-built, reusable semantic models, empowering users and the community to share ...