---
title: Welcome
description: "## Welcome to our AI playbook! This is your go-to resource for staying updated on the rapidly evolving field of AI technology. Here is what we cover: 1. Introduction - Purpose of the Playbook - How to use this Playbook…"
url: "https://members.botnirvana.org/playbook/welcome/"
updated: "2023-10-03"
category: Introduction
---

# Welcome

## Welcome to our AI playbook!

This is your go-to resource for staying updated on the rapidly evolving field of AI technology. Here is what we cover:

1. Introduction
   - Purpose of the Playbook
   - How to use this Playbook
   - Acknowledgments and Community Contributions
2. Understanding AI
   - The origins and evolution of AI
   - Key Concepts and Terminology
   - AI vs. Machine Learning vs. Deep Learning
   - Generative AI, LLMs, Agents
3. Generative AI Fundamentals
   - LLMs and Foundational Models
   - Architecture for LLM Applications
   - Prompting and Prompt Engineering
   - Tokens and Optimization
   - Hallucinations and other risks
4. Applying AI
   - Continuum for Applied AI
   - 11 ways to apply Gen AI
   - AI Chatbots
   - AI Assistants - Copilots
   - Human in the loop automation
   - Autonomous AI
5. AI Use Cases
   - Industry-Specific Use Cases (e.g., Healthcare, Finance, Manufacturing, Retail)
   - Functional Use Cases (e.g., Customer Service, Sales, Operations, HR)
6. AI Tools and Technologies
   - Cloud-Based AI Services and Platforms
   - Automation Tools for AI Implementation
   - Data Management and Preparation for AI
7. AI Strategies
   - Developing a Successful AI Strategy
   - Identifying AI Opportunities and Challenges
   - Building a business case for AI
   - Strategies for scaling AI initiatives
   - Case studies of successful AI strategies
8. AI Governance
   - AI security: protecting data and systems
   - Data governance: ensuring data integrity and accessibility
   - The regulatory landscape for AI
   - Strategies for managing AI risks
   - Creating responsible AI: trust, transparency, and accountability.
9. AI Implementation
   - AI Implementation life cycle
   - Establishing a culture of AI in an organization
   - Evaluating AI Vendor Solutions
   - Managing AI Projects and Risks
10. Resources and Further Learning
    - Recommended Books, Websites, and Blogs
    - Online Courses and Training Programs
    - AI Conferences and Events