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Building LLM Powered  Applications

You're reading from  Building LLM Powered Applications

Product type Book
Published in May 2024
Publisher Packt
ISBN-13 9781835462317
Pages 342 pages
Edition 1st Edition
Languages
Author (1):
Valentina Alto Valentina Alto
Profile icon Valentina Alto
Toc

Table of Contents (16) Chapters close

Preface 1. Introduction to Large Language Models 2. LLMs for AI-Powered Applications 3. Choosing an LLM for Your Application 4. Prompt Engineering 5. Embedding LLMs within Your Applications 6. Building Conversational Applications 7. Search and Recommendation Engines with LLMs 8. Using LLMs with Structured Data 9. Working with Code 10. Building Multimodal Applications with LLMs 11. Fine-Tuning Large Language Models 12. Responsible AI 13. Emerging Trends and Innovations 14. Other Books You May Enjoy
15. Index

Regulations surrounding Responsible AI

Regulation of AI is becoming increasingly systematic and stringent, with numerous proposals on the table.

In the United States, the government, particularly under the Biden-Harris administration, has proactively implemented measures to ensure responsible AI usage. This includes initiatives like the Blueprint for an AI Bill of Rights, an AI Risk Management Framework, and a National AI Research Resource roadmap. President Biden’s Executive Order emphasizes eliminating bias in federal agencies’ use of new technologies, including AI. Collaborative efforts from agencies like the Federal Trade Commission and the Equal Employment Opportunity Commission showcase a commitment to protecting Americans from AI-related harm.

In Europe, the European Commission proposed the Artificial Intelligence Act (AI Act), which seeks to establish a comprehensive regulatory framework for AI that applies to the following stakeholders:

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