Description
Most document processing applications will use more than one stage or AI Model. The ‘proof of concept’ phase can be time consuming when trying to test various algorithms on your own data. This presentation aims to provide the guidance and resources to generate a multi-stage, cognitive pipeline in hours.
Additional content for you:
In this self-paced, free training module, learn how to use Language Studio to enrich Azure Cognitive Search indexes and enrich a cognitive search index with custom classes. https://aka.ms/LearnLanguageStudio
Learn how to integrate AI into your applications that can extract information, classify text, understand conversational language, answer questions and more through the Azure Cognitive Service for Language documentation. https://aka.ms/AzureCognitiveService
Instructor's Bio
Brandon Cowen
Senior AI/ML Solution Architect at Microsoft
Bringing six 6 years’ experience with internal and externally facing deployment of NLP models, Brandon joined Microsoft in 2021
James Hoff
Principal Cloud Solution Architect at Microsoft
With seven years’ experience delivering cognitive service deployments to customers, James joined Microsoft in 2021
Webinar
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ON-DEMAND WEBINAR: Create Multi-Stage, NLP Pipelines Quickly and Easily Using Azure Cognitive Services
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