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Foundations 89

All Foundations89 AI basics25 How language models work23 AI safety and ethics49

Everyday AI 91

All Everyday AI91 Prompting20 ChatGPT and Claude at work25 AI for writing29 AI for research and study33

Building with AI 162

All Building with AI162 Python for AI21 Building with LLM APIs30 RAG and search21 Evaluation and testing21 AI agents31 AI automation25 AI coding assistants30

Machine learning 149

All Machine learning149 Machine learning35 Data science and statistics30 Math for AI23 Deep learning28 NLP14 Computer vision14 Fine tuning and training12 MLOps and deployment18

Creative AI 77

All Creative AI77 Image and video AI58 Audio and voice AI12 AI for design33

AI at work 145

All AI at work145 AI for business34 AI for marketing and sales23 AI for product and operations28 AI for education28 AI for professionals29 AI careers18

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How language models work Intermediate Clear all

Why language models make things up

Why language models make things up

Understand the causes of hallucination and build habits that catch it before it costs youAll levelsAI safety and ethics4.4(5)122 lessonsSampleBastian Weber$5 Running a language model on your own computer

Running a language model on your own computer

Work out what your machine can run, set up a local model, and know what to expect from itIntermediateHow language models work4.3(4)80 lessonsSampleBenedict Asante$7 Attention mechanisms, step by step

Attention mechanisms, step by step

Compute attention by hand, then understand masks, heads, KV caching and efficient variantsIntermediateDeep learning4.3(4)66 lessonsSampleNikolai Sorin$8 Reasoning models: when thinking time helps

Reasoning models: when thinking time helps

Learn how reasoning models work, when extra thinking pays off, and when it just costs moreIntermediateHow language models work4.7(3)65 lessonsSampleBenedict Asante$6 Reporting on AI: a guide for journalists

Reporting on AI: a guide for journalists

Cover AI accurately: the right questions, sources, language and traps for reporters and editorsIntermediateAI basics4.7(3)63 lessonsSampleBruno Azevedo$7 Open versus closed models, explained fairly

Open versus closed models, explained fairly

Understand open weights, open source and closed APIs, and how to choose between themAll levelsHow language models work4.3(3)62 lessonsSampleBenedict Asante$5 Vision language models: what they see

Vision language models: what they see

Know how AI models read images, what they get right and wrong, and how to check their answersAll levelsComputer vision4.7(3)61 lessonsSampleNoor Siddiqui$6 Embeddings: meaning as numbers

Embeddings: meaning as numbers

See how words and documents become vectors, and why similar meanings end up close togetherIntermediateHow language models work4.7(3)52 lessonsSampleBastian Weber$6 Training versus inference, clearly

Training versus inference, clearly

Learn what happens when a model is trained, what happens when you use it, and why it mattersIntermediateHow language models work4.5(2)46 lessonsSampleBastian Weber$5 Multimodal models: text, images and sound together

Multimodal models: text, images and sound together

See how one model can read images, hear audio and write text, and where it still stumblesIntermediateHow language models workNewBenedict Asante$6 Attention without the maths

Attention without the maths

Understand how transformers let each word look at the others, explained with pictures and storiesIntermediateHow language models workNewBastian Weber$5 What an AI answer really costs

What an AI answer really costs

Understand the compute, tokens and money behind AI answers and why prices vary so muchIntermediateHow language models workNewBenedict Asante$5