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Generative AI Application Integration Patterns

You're reading from   Generative AI Application Integration Patterns Integrate large language models into your applications

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835887608
Length 218 pages
Edition 1st Edition
Languages
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Authors (2):
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Luis Lopez Soria Luis Lopez Soria
Author Profile Icon Luis Lopez Soria
Luis Lopez Soria
Juan Pablo Bustos Juan Pablo Bustos
Author Profile Icon Juan Pablo Bustos
Juan Pablo Bustos
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to Generative AI Patterns 2. Identifying Generative AI Use Cases FREE CHAPTER 3. Designing Patterns for Interacting with Generative AI 4. Generative AI Batch and Real-Time Integration Patterns 5. Integration Pattern: Batch Metadata Extraction 6. Integration Pattern: Batch Summarization 7. Integration Pattern: Real-Time Intent Classification 8. Integration Pattern: Real-Time Retrieval Augmented Generation 9. Operationalizing Generative AI Integration Patterns 10. Embedding Responsible AI into Your GenAI Applications 11. Other Books You May Enjoy
12. Index

Use case definition

Extracting metadata from 10-K reports holds significant value for financial services companies and other stakeholders. These reports, mandated by the SEC, are a treasure trove of information that can provide valuable insights into a company’s financial health, operational performance, and strategic direction. However, the sheer volume, complexity of these documents, and lack of consistency across the way companies build their reports can make it challenging to manually extract and analyze the relevant data points.

Typical 10-K reports follow a standardized structure, comprising multiple sections that cover various aspects of a company’s operations. These sections may include a business overview, risk factors, management’s discussion and analysis, financial statements, and disclosures about corporate governance, among others. While the structure is consistent across companies, the specific data points and their presentation can vary, making...

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