I.AI ACADEMY
PREVIEW SITE

Welcome to the I.AI Academy Preview Site!

The I.AI Academy is a comprehensive learning platform covering essential topics on Artificial Intelligence, Large Language Models and
Generative Language Models like ChatGPT.

Our preview site gives you a first glimpse of the scope,
structure and design of the I.AI Academy.

Extensive Learning Content
The I.AI Academy offers a wealth of knowledge with over 80 pages of well-researched content on artificial intelligence and language models.
6 Core Topics
The platform covers six main areas: ChatGPT Beginner’s Tutorial, Introduction to AI & Large Language Models,
Prompt Engineering, AI @ Work, i.know Conversations and
the I.AI Dictionary.
Two Language Versions
All content is available in both German and English, making it accessible to a broader audience.
Clear Language and Attractive Design
The I.AI Academy features clear, accessible language and a modern, appealing design for an engaging learning experience.
Two Implementation Models
Clients can choose between a subscription model (access to the external I.AI Academy website) or a content licensing model (integration of selected, CI-customized content into their company’s intranet).

Beginner's Tutorial:
Chat GPT & Prompting

Our Beginner's Tutorial provides inscructions on howe to
staret working with Generative Language Models like ChatGPT: From understanding how chatbots work to
the basics of effective prompting and practical tips
and tricks.

Beginner's Tutorial Overview
- Getting Started with ChatGPT
- How to Interact with ChatGPT
- Prompt Adjustments & Context
- Capabilities & Limitations
- Ethics and Privacy
- Advanced ChatGPT: API & Plugins
- 10 Tips for More Effective Prompting

KNOWLEDGE AREAS

Artificial Intelligence &
Large Language Models

We cover the history of AI, explain the core principles of machine learning, and describe the development and functionality of modern AI language models. Additionally, we address legal frameworks and key aspects for the safe use of AI.

What is Artificial Intelligence (AI)?
- History of AI
- The Rapid Rise of OpenAI
- Machine Learning
- Neural Networks & Deep Learning
Large Language Models (LLMs)
- How are LLMs Developed?
- How do LLMs Generate Text?
Risks, Legal Aspects & Future Outlook
- Risks & Limitations
- Legal Frameworks
- What is Intelligence?
- The Evolution of AI: ANI, AGI & ASI

Prompt Engineering

This section covers everything you need to know about prompt engineering:

From the structure and key components of an effective prompt to essential prompting strategies and frameworks that help structure prompts with specific goals in mind.

Introduction to Prompt Engineering.

Introduction to Prompt Engineering
Prompt Components
- Task
- Instructions
  - Deep Dive: Personas
  - Deep Dive: Persona Patterns
  - Deep Dive: Output Formats
  - Deep Dive: Tone & Style
- Context
  - Deep Dive: Target Audiences
- Input
- Parameters
  - Deep Dive: Temperature
  - Deep Dive: Max Tokens
  - Deep Dive: Response Length
  - Deep Dive: Placeholders
  - Deep Dive: Presence Penalty
  - Deep Dive: Model Choice
  - Deep Dive: Frequency Penalty
  - Deep Dive: Top-P Sampling
Prompting Strategies
- Zero Shot
- Few Shot
- Chain-of-Thought
- Self-Consistency
- Prompt Chaining
- RAG
- APE
Prompting Frameworks
- Task-Specific Prompting Frameworks
- Instruction-Based Prompting Frameworks
- Context-Based Prompting Frameworks