AI Literacy Crash Course
In this video we'll explore how to maximize your AI systems like ChatGPT, Gemini, and Claude by understanding key concepts like context windows, and what goes behind true AI literacy skills. We'll look at the spectrum of AI usage, and some opinionated ideas on the core skills for effective usage of AI.
📚 Chapters:
00:00 - Introduction to AI Literacy
01:00 - The Concept of Multi-modality
02:00 - The Difference Between SLOP and Responsible AI Usage
03:00 - Understanding the AI Assistant Spectrum
04:00 - Task and Risk in AI-Assisted Work
05:00 - The Low-Stakes and Deep Review Zones
06:00 - Fiv…
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Chapters (26)
Introduction to AI Literacy
1:00
The Concept of Multi-modality
2:00
The Difference Between SLOP and Responsible AI Usage
3:00
Understanding the AI Assistant Spectrum
4:00
Task and Risk in AI-Assisted Work
5:00
The Low-Stakes and Deep Review Zones
6:00
Five Core Skills for Effective AI Usage
7:00
In-Depth Explanation of Prompting
8:00
Detailed Look at Decomposition and Task Management
9:00
The Importance of Examples and Role Assignment
10:00
Giving AI Time to Think and Output Constraints
11:00
Context Engineering: Managing Information Effectively
12:00
Writing, Selecting, Compressing, and Isolating Context
13:00
Strategic Context Selection
14:00
The Role of Summarization in Context Management
15:00
Capability Assignment: What AI Does Well and What We Do
16:00
Offloading Tasks to AI vs. Managing Critical Stages Personally
17:00
Sanity Checking: Ensuring AI Outputs Meet Expectations
18:00
Addressing Concerns of Long AI Conversations
19:00
Strategic Cognitive Offloading: The 70/30 Rule
20:00
Patterns in Knowledge Work with AI Assistance
21:00
Utilizing Multi-modality in AI Workflows
22:00
Linking AI Conversations in Project Management
23:00
Creating and Using Prompt Templates for Efficiency
24:00
Additional Patterns and Strategies for Using AI
25:00
Wrap-Up and Key Takeaways on AI Literacy
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