Protecting your proprietary data when using the AI isn't something I cover in the course. I give away all my best prompts inside, and many others in the course community are already sharing their work as well. For advice on this specifically, you may need to look elsewhere
EDUCATION
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Learning Coding Skills Through Building Projects
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I'd make smth and then get coding skills from it as I did
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AI Writing Course Reviews in Crocodile Dundee Style
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Someone asked the AI to write their review in the style of Crocodile Dundee. I have a feeling the reviews of this course are about to get meme'd.
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New AI writing course and system with advanced prompts released
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BTW — if you're looking to jump way ahead: Check out my just-released course and AI writing system. Comes with a ton of example prompts way more sophisticated than what you can fit into a tweet: http://
aicontentreactor.com -
ChatGPT Output Formats: Varying Your Prompts for Better Results
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Use ChatGPT to write in different formats Ask ChatGPT to vary its output. • Outline
• Mind map
• Bullet points
• Persuasive essay
• Chunks of text of less than 280 characters
• Using the structure: 1) What, 2) Why, 3) How -
Enhancing ChatGPT Prompts with Human-Written Persuasive Writing Techniques
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Add in human-written techniques Ask ChatGPT it to work according to good advice you've read elsewhere. In the prompt below, I take some tips on persuasive writing from the Grammarly blog and ask it to apply them to my topic.
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Democratizing Learning Opportunities Through Digital Resources and AI
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Thank you Sharon! @1OFFGINGER could not agree more re the democratizing of learning opps like this via digital – have you seen this ESA resource too, lots of #Space nuggets 🙂 Sally #education #AI #schools https://
esa.int/kids/en/learn -
TensorFlow Lite for Microcontrollers: Deploy TinyML Models
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7. Deploying TinyML Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. https://
pll.harvard.edu/course/deployi
ng-tinyml?delta=0
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TinyML Applications: Keyword Spotting, Wake Words, Gesture Recognition
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6. Applications of TinyML You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition. https://
pll.harvard.edu/course/applica
tions-tinyml?delta=0
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Fundamentals of TinyML: Harvard Course on Embedded Machine Learning
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5. Fundamentals of TinyML Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML. https://
pll.harvard.edu/course/fundame
ntals-tinyml?delta=0
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