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Practical Guide to Azure Cognitive Services

You're reading from  Practical Guide to Azure Cognitive Services

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781801812917
Pages 454 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Chris Seferlis Chris Seferlis
Profile icon Chris Seferlis
LinkedIn
Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.
See other products by Chris Seferlis
Christopher Nellis Christopher Nellis
Profile icon Christopher Nellis
LinkedIn
Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.
See other products by Christopher Nellis
Andy Roberts Andy Roberts
Profile icon Andy Roberts
LinkedIn
Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.
See other products by Andy Roberts
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Table of Contents (22) Chapters

Preface Part 1: Ocean Smart – an AI Success Story
Chapter 1: How Azure AI Changed Ocean Smart Chapter 2: Why Azure Cognitive Services? Chapter 3: Architectural and Cost Optimization Considerations Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
Chapter 4: Deriving Value from Knowledge Mining Solutions in Azure Chapter 5: Azure Cognitive Search Overview and Implementation Chapter 6: Exploring Further Azure Cognitive Services for Successful KM Solutions Chapter 7: Pulling It All Together for a Complete KM Solution Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
Chapter 8: Decluttering Paperwork with Form Recognizer Chapter 9: Identifying Problems with Anomaly Detector Chapter 10: Streamlining the Quality Control Process with Custom Vision Chapter 11: Deploying a Content Moderator Chapter 12: Using Personalizer to Cater to Your Audience Chapter 13: Improving Customer Experience with Speech to Text Chapter 14: Using Language Services in Chat Bots and Beyond Chapter 15: Surveying Our Progress Chapter 16: Appendix – Azure OpenAI Overview Index Other Books You May Enjoy

Clarifying common misconceptions

The pure nature of AI, doomsday or otherwise, is challenging for the majority of people to conceptualize. Attempting to simplify these advanced technical concepts can prove to be challenging, especially with the whirlwind of “fake news” plaguing our world. For that reason, I think it’s a great idea to acknowledge that there are several misconceptions about ChatGPT and OpenAI that are worth addressing:

  • ChatGPT is fully autonomous: ChatGPT is not a fully autonomous AI system but, instead, a machine learning model that generates text based on the input it receives. It is not capable of independent thought or decision-making and can only generate responses based on the information it has been trained on.
  • ChatGPT is perfect: Despite its impressive capabilities, ChatGPT is still prone to making mistakes and generating responses that are inconsistent with human beliefs and values. It is important to understand that ChatGPT...
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Authors (3)

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Profile icon Chris Seferlis
LinkedIn
Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.
See other products by Chris Seferlis
Profile icon Christopher Nellis
LinkedIn
Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.
See other products by Christopher Nellis
Profile icon Andy Roberts
LinkedIn
Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.
See other products by Andy Roberts
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