Google’s AI Course for Beginners (in 10 minutes)!
About this video
Su compresses Google’s four-hour AI course for beginners into ten minutes, starting with the map: AI is the whole field, machine learning is a subfield, deep learning sits inside that, and large language models overlap with generative AI. Machine learning trains a model on input data to predict on unseen data, in supervised form with labelled data and feedback on its errors, and in unsupervised form by finding natural groupings in unlabelled data. Deep learning uses brain-inspired neural networks and enables semi-supervised learning, illustrated by a bank labelling only 5 percent of transactions for fraud and letting the model learn to judge the rest. He then separates discriminative models, which classify into labels, from generative models, which learn patterns and create something new, and gives a simple test: a number, classification or probability is not generative, while new text, image, audio or video is. He surveys text-to-text, image, video, 3D and task models, then explains LLMs as pre-trained generalists that are fine-tuned on smaller domain datasets, as a hospital might do for diagnostics.
Key takeaways
- AI contains machine learning, which contains deep learning; LLMs overlap generative AI
- Supervised learning uses labelled data; unsupervised finds groups in unlabelled data
- Semi-supervised learning stretches a small labelled set across a large unlabelled one
- Discriminative models classify; generative models create new text, images or media
- LLMs are pre-trained broadly, then fine-tuned for a specific domain or industry
Episode details: published November 14, 2023 · 9:18 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are Jeff Su’s own claims, shared for education — they are not typical or guaranteed.
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