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Introduction

3
  • Welcome
  • Purpose and Principles
  • How to Use the Playbook

AI Fundamentals

7
  • The origins and evolution of AI
  • Key Concepts and Terminology
  • Traditional AI (ML) vs Foundational models (Gen AI)
  • AI vs. ML vs. Deep Learning vs. Generative AI
  • Introduction To Generative AI
  • Synthetic Data
  • Computer Vision

Generative AI

13
  • LLMs and Foundational Models
  • Foundation models 101
  • Architecture for LLM Applications (Emerging)
  • Prompt Engineering
  • Tokens and Optimization
  • Retrieval Augmented Generation (RAG)
  • Four Types Of RAG (from Microsoft)
  • Mixture of Experts (MoE)
  • Model Inference
  • Small Language Models
  • Reinforcement Learning from Human Feedback (RLHF)
  • Large Vision Models (LVMs)
  • Types of RAG

AI Agents

8
  • Types of Agents
  • Agent uses and examples
  • AI Agents
  • Agentic workflow
  • AI Agent Memory
  • Intelligent Automation with AI Agents
  • AI agent challenges
  • Agentic RAG

Applying AI

5
  • Continuum for Applied AI
  • 11 ways to apply Gen AI
  • AI-led automation
  • Chatbots
  • Microsoft 365 Co-Pilot

Use Cases

2
  • 15 Best Gen AI Use Cases
  • Use Case Grid

Technologies and Tools

7
  • Top 3 AI Tools by Category
  • LLM app dev tools
  • Current LLM Landscape
  • ChatGPT Enterprise
  • OpenAI Playground
  • Vector Databases
  • Synthetic data

AI Strategies

4
  • 5-Steps to Identifying Winning AI Opportunities
  • How To Identify & Prioritize AI Opportunities
  • Create a compelling business case
  • Mastering Data Management for Business: A Comprehensive Guide

Risks & Security

5
  • Risks of AI
  • 4 Top AI Risks Right Now
  • AI – Security Risk Checklist
  • AI Security Frameworks
  • Hallucinations and other risks

AI Safety

4
  • Explainable AI
  • AI Alignment
  • Ethical Considerations And Strategies
  • Handling Sensitive Information with AI

AI Governance

6
  • AI Center of Excellence
  • The regulatory landscape for AI
  • Current compliance situation
  • AI CoE checklist
  • Data governance: ensuring data integrity and accessibility
  • Crafting AI Policies for Transparency and Bias Mitigation

AI Implementation

1
  • Key Factors to Consider When Selecting a LLM

Resources and Further Learning

2
  • Free courses
  • Best AI Resources

Prompt Engineering

4
  • Chain of Thought Prompting
  • Effective Guide To Prompting
  • One-Shot Prompting
  • Self-Consistency Prompting

Thought Leadership

1
  • AI Spanning

AI Hardware

1
  • GPUs in AI

Robotics

1
  • Robotics and AI

LLM Evaluation

3
  • Practical LLM Evaluation Techniques
  • Methods and Frameworks for LLM Evaluation
  • LLM Evaluation Explained
  • Home
  • Playbook
  • Introduction
  • Purpose and Principles
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Purpose and Principles

< 1 min read

Whether you’re a C-level executive, founder, director, manager, or any leader who sees the potential of AI and wants to leverage it, this playbook is designed to help you get started and keep up with the latest strategies, concepts, use cases, tools, and frameworks in the AI space.

This playbook is a living document, constantly evolving to keep pace with the rapid advancements in AI. Our goal is to keep ourselves abreast of up-to-date information and insights with you.

Our aim is to make complex AI ideas accessible and easy to understand. We’ll avoid buzzwords and jargon, favoring concise and clear explanations instead.

Stay tuned for regular updates, and don’t forget to provide your feedback and suggestions in the comments sections below. Your input is crucial in making this playbook a valuable resource for all of us.

Let’s leverage the power of AI to drive innovation, solve complex problems, and create a brighter future together.

We’re excited to embark on this AI journey with you!

P.S. Note that we’re using AI tools like ChatGPT to expedite the process of delivering this information to you.

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Updated on October 3, 2023
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