Category: Structured Data
-
Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises
Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises LLMs are a seamless way to find value in your unstructured data, but the truth is, there is so much more value hidden within your structured data. This post explores what LLMs are (and aren’t) optimized for and how the industry is approaching AI over structured business…
-
Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows
Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows A guide to building modular workflows for structured intelligence The post Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows appeared first on Towards Data Science. Subha Ganapathi Go to original source
-
Using Google’s LangExtract and Gemma for Structured Data Extraction
Using Google’s LangExtract and Gemma for Structured Data Extraction Extracting structured information effectively and accurately from long unstructured text with LangExtract and LLMs The post Using Google’s LangExtract and Gemma for Structured Data Extraction appeared first on Towards Data Science. Kenneth Leung Go to original source
-
Can LangExtract Turn Messy Clinical Notes into Structured Data?
Can LangExtract Turn Messy Clinical Notes into Structured Data? Turning raw clinical notes into structured entities with LLMs. The post Can LangExtract Turn Messy Clinical Notes into Structured Data? appeared first on Towards Data Science. Parul Pandey Go to original source