The Value of A Semantic Layer for GenAI

Abstract: 

By empowering an LLM with the logical context of a semantic layer, we can incorporate business terminology and logic into its responses and enable queries to the database using natural language ( instead of SQL). Coupling this with AtScale’s query engine results in increased performance in the face of Natural Language prompts from business users. In this talk we will explore an application of such a model, in the form of an LLM and Semantic Layer backed Chat Bot.
Attendees will gain insights into:
The improvements seen against existing LLM benchmarks when coupling the model with a semantic layer.
Insight in how the LLM will translate natural language requests into efficient sql.
Gaining value from an LLM with a chat interface.

Who should attend this session?
Data Analysts and Data Scientists, Business Intelligence (BI) Professionals, Data Product Managers, Executives and Decision-Makers

Session Outline:

By infusing an LLM (Language Model) with the contextual understanding of a semantic layer, we unlock the potential to infuse business terminology and logical reasoning into its responses, facilitating database queries using natural language, instead of relying on SQL. When combined with AtScale's query engine, this integration results in significantly enhanced performance when handling natural language inquiries from business users.
During this presentation, we will delve into the practical application of such a model, embodied in the form of an LLM integrated with a Semantic Layer-supported Chat Bot. Attendees can expect to gain valuable insights into the following areas:
Enhancements achieved by pairing the model with a semantic layer when compared to existing LLM benchmarks.
Understanding how the LLM seamlessly translates natural language requests into efficient SQL queries.
Extracting tangible value from an LLM integrated with a chat interface for your business needs.

Bio: 

Krishna, a experienced data scientist, serves as a consultant at AtScale, specializing in Natural Language Processing (NLP) with over a decade of hands-on expertise. Presently, his focus lies in empowering organizations to harness the capabilities of Generative Artificial Intelligence (Gen AI)

Open Data Science

 

 

 

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