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Generative AI Application Integration Patterns. Integrate large language models into your applications Juan Pablo Bustos, Luis Lopez Soria, Dr. Ali Arsanjani

Język publikacji: angielski
Generative AI Application Integration Patterns. Integrate large language models into your  applications Juan Pablo Bustos, Luis Lopez Soria, Dr. Ali Arsanjani - okladka książki

Generative AI Application Integration Patterns. Integrate large language models into your  applications Juan Pablo Bustos, Luis Lopez Soria, Dr. Ali Arsanjani - okladka książki

Autorzy:
Juan Pablo Bustos, Luis Lopez Soria, Dr. Ali Arsanjani
Serie wydawnicze:
Learning
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
218
Dostępne formaty:
     PDF
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Do przechowalni

Explore the transformative potential of GenAI in the application development lifecycle. Through concrete examples, you will go through the process of ideation and integration, understanding the tradeoffs and the decision points when integrating GenAI.
With recent advances in models like Google Gemini, Anthropic Claude, DALL-E and GPT-4o, this timely resource will help you harness these technologies through proven design patterns.
We then delve into the practical applications of GenAI, identifying common use cases and applying design patterns to address real-world challenges. From summarization and metadata extraction to intent classification and question answering, each chapter offers practical examples and blueprints for leveraging GenAI across diverse domains and tasks. You will learn how to fine-tune models for specific applications, progressing from basic prompting to sophisticated strategies such as retrieval augmented generation (RAG) and chain of thought.
Additionally, we provide end-to-end guidance on operationalizing models, including data prep, training, deployment, and monitoring. We also focus on responsible and ethical development techniques for transparency, auditing, and governance as crucial design patterns.

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O autorach książki

Juan Pablo Bustos is a seasoned technologist with over 20 years of experience in driving innovation and delivering impactful solutions across diverse industries. Juan brings expertise in solution architecture, product incubation, and integration, coupled with expertise in cloud computing, AI, and machine learning.
Luis Lopez Soria is an experienced software architect specialized in AI/ML. He has gained practical experience from top firms across heavily regulated industries (healthcare, and finance) as well as big tech. He brings a blended lens from his experience managing global partnerships, AI product development, and customer facing roles.
Dr. Ali Arsanjani is the Director Applied AI Engineering at Google Cloud, and Head of GenAI Blackbelts and AI Center of Excellence, within the Google Cloud Product Engineering organization.Ali leads strategic pursuits for Cloud AI Partners and is the program manager for Google Cloud co-innovation and co-engineering programs that focus on adoption of Google AI for customers & partners through thought leadership, engagement, enablement and execution. Google's earliest adopters of GenAI have partnered closely with Dr.Arsanjani and his team on their use cases and adoption. He leads Generative and Agentic AI initiatives that enable customers and partners with the best-practices and tools that bring the capabilities of the Google Cloud AI platform to solve tactical and strategic challenges through best-practices and assets and achieving strong partnerships through strategic product co-innovation. Ali is an Adjunct Professor at San Jose State University and the University of California, San Diego, where he teaches and advises students in the Masters in Data program and the Data Science Institute, respectively. Prior to Google, Dr.Arsanjani was a Chief Principal Architect and WW Tech Lead at AWS, and previously CTO, Distinguished Engineer, Analytics and Machine Learning at IBM.

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