#Natural Language Processing

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Natural Language Processing (NLP) is the field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language in a natural way. NLP techniques allow computers to analyze and derive meaning from human language data, such as text and speech, enabling them to perform tasks like sentiment analysis, language translation, text summarization, named entity recognition, and more.

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Article Alex Woodhead · Jun 19 3m read

Audience

Those curious in exploring new GenerativeAI usecases.

Shares thoughts and rationale when training generative AI for pattern matching.

Challenge 1 - Simple but no simpler

A developer aspires to conceive an elegant solution to requirements.
Pattern matches ( like regular expressions ) can be solved for in many ways. Which one is the better code solution?
Can an AI postulate an elegant pattern match solution for a range of simple-to-complex data samples?

Consider the three string values:

  • "AA"
  • "BB"
  • "CC"
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Article Rahul Singhal · Mar 1 6m read

Introduction

To achieve optimized AI performance, robust explainability, adaptability, and efficiency in healthcare solutions, InterSystems IRIS serves as the core foundation for a project within the x-rAI multi-agentic framework. This article provides an in-depth look at how InterSystems IRIS empowers the development of a real-time health data analytics platform, enabling advanced analytics and actionable insights. The solution leverages the strengths of InterSystems IRIS, including dynamic SQL, native vector search capabilities, distributed caching (ECP), and FHIR interoperability. This innovative approach directly aligns with the contest themes of "Using Dynamic SQL & Embedded SQL," "GenAI, Vector Search," and "FHIR, EHR," showcasing a practical application of InterSystems IRIS in a critical healthcare context.

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