This is aimed at absolutely anyone interested in AI, from c-suite and software engineers to curious parents and engaged amateurs. No technical background is necessary, as no matter your background you will leave much better informed about key (and controversial) terms in AI.
You will learn about 8 of the key terms used in AI - which are bandied around as if everyone should know them. Each term comes with complex and storied histories and implications, relevant to both practitioners and interested onlookers.
Read more
This is aimed at absolutely anyone interested in AI, from c-suite and software engineers to curious parents and engaged amateurs. No technical background is necessary, as no matter your background you will leave much better informed about key (and controversial) terms in AI.
You will learn about 8 of the key terms used in AI - which are bandied around as if everyone should know them. Each term comes with complex and storied histories and implications, relevant to both practitioners and interested onlookers.
This is aimed at absolutely anyone interested in AI, from c-suite and software engineers to curious parents and engaged amateurs. No technical background is necessary, as no matter your background you will leave much better informed about key (and controversial) terms in AI.
You will learn about 8 of the key terms used in AI - which are bandied around as if everyone should know them. Each term comes with complex and storied histories and implications, relevant to both practitioners and interested onlookers.
What does 'stochastic parrot' actually mean, and are LLMs merely parrots? Do language models actually 'reason' and has the idea of 'emergent behaviors' been debunked already? Why is the term 'open source' being replaced with 'open weights' and what on earth is meant by 'artificial general intelligence'? I challenge anyone to leave this short 3-5 hour course without a much more nuanced understanding of the key debates in AI.
What's inside
Syllabus
Stochastic Parrot
Learn about a controversial label for LLMs, whether it holds up, and what on earth parrots have to do with it.
Emergent Behaviors
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Syllabus
Good to know
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Activities
Review Open AI's Blog
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Become familiar with the latest research and advancements in AI from a leading organization.
Browse courses on
Artificial Intelligence
Show steps
-
Visit Open AI's blog
-
Read recent articles
-
Summarize key concepts
Identify AI Terminology
Show steps
Test understanding by applying AI terminology accurately.
Show steps
-
Create a list of AI terms
-
Practice identifying each term in real-world examples
-
Use flashcards or online quizzes to test knowledge
Experiment with GPT-3 Playground
Show steps
Gain practical experience using a cutting-edge AI tool.
Browse courses on
Natural Language Processing
Show steps
-
Explore the GPT-3 Playground website
-
Follow tutorials to create text, code, and images
-
Experiment with different parameters
Four other activities
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Show all seven activities
Develop a Glossary of AI Terms
Show steps
Reinforce understanding by creating a resource that defines key AI concepts.
Show steps
-
Brainstorm a list of AI terms
-
Research each term to gather definitions
-
Organize the terms into a glossary
-
Illustrate the glossary with real-world examples
Discuss AI Case Studies
Show steps
Share insights and learn from peers by analyzing real-world AI applications.
Show steps
-
Join or start a study group
-
Select relevant AI case studies
-
Analyze the case studies and identify key concepts
-
Discuss the findings with the group
-
Reflect on the discussions and apply the learnings
Contribute to an Open-Source AI Project
Show steps
Gain hands-on experience in the AI community by collaborating on open-source projects.
Browse courses on
Open Source
Show steps
-
Identify relevant open-source AI projects
-
Choose a project to contribute to
-
Follow the project's contribution guidelines
-
Submit code or documentation improvements
-
Engage with project maintainers and other contributors
Develop an AI-Powered Solution to a Real-World Problem
Show steps
Apply AI principles and techniques to solve a practical problem.
Show steps
-
Identify a real-world problem
-
Research and gather data
-
Develop and train an AI model
-
Test and evaluate the model
-
Package the solution and submit a report
Review Open AI's Blog
Show steps
Become familiar with the latest research and advancements in AI from a leading organization.
Browse courses on
Artificial Intelligence
Show steps
- Visit Open AI's blog
- Read recent articles
- Summarize key concepts
Identify AI Terminology
Show steps
Test understanding by applying AI terminology accurately.
Show steps
- Create a list of AI terms
- Practice identifying each term in real-world examples
- Use flashcards or online quizzes to test knowledge
Experiment with GPT-3 Playground
Show steps
Gain practical experience using a cutting-edge AI tool.
Browse courses on
Natural Language Processing
Show steps
- Explore the GPT-3 Playground website
- Follow tutorials to create text, code, and images
- Experiment with different parameters
Develop a Glossary of AI Terms
Show steps
Reinforce understanding by creating a resource that defines key AI concepts.
Show steps
- Brainstorm a list of AI terms
- Research each term to gather definitions
- Organize the terms into a glossary
- Illustrate the glossary with real-world examples
Discuss AI Case Studies
Show steps
Share insights and learn from peers by analyzing real-world AI applications.
Show steps
- Join or start a study group
- Select relevant AI case studies
- Analyze the case studies and identify key concepts
- Discuss the findings with the group
- Reflect on the discussions and apply the learnings
Contribute to an Open-Source AI Project
Show steps
Gain hands-on experience in the AI community by collaborating on open-source projects.
Browse courses on
Open Source
Show steps
- Identify relevant open-source AI projects
- Choose a project to contribute to
- Follow the project's contribution guidelines
- Submit code or documentation improvements
- Engage with project maintainers and other contributors
Develop an AI-Powered Solution to a Real-World Problem
Show steps
Apply AI principles and techniques to solve a practical problem.
Show steps
- Identify a real-world problem
- Research and gather data
- Develop and train an AI model
- Test and evaluate the model
- Package the solution and submit a report
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