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  <titleInfo>
    <title>Generative AI For Enterprises</title>
    <subTitle>:Essential Insights For Decision Makers</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Anand V.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource/>
  <originInfo>
    <publisher>BPB Publications</publisher>
    <dateIssued>2024</dateIssued>
    <issuance/>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">Eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>209</extent>
  </physicalDescription>
  <abstract>Table of Contents
1.The Rise of Generative AI in Enterprises
2.Complex Needs of Production
3.Model Selection for Enterprises
4.Model Deployment for Enterprises
5.Operating System for Enterprises
6.Prompt Engineering for Enterprises
7.Fine-tuning for Enterprises 
8.Orchestration of Generative AI Workflows
9.Six Ethical Dimensions for Enterprises
10.Designing a Target Operating Model
11.Cost Optimization Strategies
12.Retrieval-augmented Generation for Enterprises
13.Model as a Service for Enterprises
14.Confidential AI 
15.Latency in Generative AI Solutions
16.Multi-modal Multi-agentic Assistant Framework for Enterprises</abstract>
  <identifier type="isbn">9789355516978</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">250109</recordCreationDate>
    <recordChangeDate encoding="iso8601">20250109135104.0</recordChangeDate>
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