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    Generative AI Applications: Planning, Design and Implementation (Generative AI LLM Programming)

    Posted By: naag
    Generative AI Applications: Planning, Design and Implementation (Generative AI LLM Programming)

    Generative AI Applications: Planning, Design and Implementation (Generative AI LLM Programming)
    English | November 10, 2024 | ASIN: B0DMMVCMPQ | 347 pages | PDF | 1.40 MB

    Launch your Generative AI application from idea to implementation. Understand the various options and trade-offs in using LLMs for applications.

    Main Points:
    - Deciding on your AI project
    - Planning for success and safety
    - Designs and LLM architectures
    - Expediting development
    - Implementation and Deployment

    Table of Contents
    Part I: Introduction to Enterprise AI
    1. Strategy
    2. Generative AI Market Overview
    3. LLM Technology Overview
    Part II: Selecting AI Projects
    4. Deciding
    5. Use Cases
    6. Limitations
    Part III: Planning AI Projects
    7. Planning
    8. Data
    9. Budgeting and ROI
    10. Safety
    Part IV: Design
    11. Requirements
    12. Architectures
    13. Transformers & LLMs
    14. Training and Fine-Tuning
    15. RAG Architectures
    Part V: Implementation
    16. Building
    17. Prompt Engineering
    18. Deployment Architecture
    Part VI: Advanced Topics
    19. AI Phones and PCs
    20. Tool Usage
    21. Agentic Architectures
    22. AI Research Overview