Google’s 4-Hour AI Course for Beginners - Summarized

Jul 20, 2024

Google’s 4-Hour AI Course for Beginners - Distilled into 10 Minutes

Introduction to AI and Its Subfields

  • Artificial Intelligence (AI): Entire field of study, like physics.
  • Machine Learning (ML): Subfield of AI, analogous to thermodynamics in physics.
  • Deep Learning (DL): Subset of ML.
  • Discriminative Models: Subset of DL focusing on classification.
  • Generative Models: Subset of DL focusing on generating new data.
  • Large Language Models (LLMs): Subset of DL, intersection of Generative Models and DL (e.g., ChatGPT, Google Bard).

Machine Learning (ML)

  • Definition: Programs that use input data to train models that make predictions on unseen data.
  • Types of ML Models:
    • Supervised Learning: Uses labeled data (e.g., predicting tips based on the bill amount and delivery status).
    • Unsupervised Learning: Uses unlabeled data (e.g., grouping employees by tenure and income).
  • Pro Tip: After making a prediction, supervised models compare it to training data and try to close any gap. Unsupervised models do not.

Deep Learning (DL)

  • Definition: Type of ML using artificial neural networks.
  • Artificial Neural Networks: Inspired by the human brain, composed of layers of nodes/neurons.
  • Semi-Supervised Learning: Uses small labeled and large unlabeled dataset (e.g., fraud detection in banking).

Discriminative vs. Generative Models

  • Discriminative Models: Classify data points based on learned relationships (e.g., distinguishing between cats and dogs).
  • Generative Models: Learn patterns and generate new data (e.g., creating a new dog image based on learned patterns).
  • Simple Determination: If the output is a number, classification, or probability—it’s not generative AI. Generative AI generates text, speech, images, or audio.

Types of Generative AI Models

  • Text-to-Text Models: e.g., ChatGPT, Google Bard.
  • Text-to-Image Models: e.g., MidJourney, DALL-E, Stable Diffusion.
  • Text-to-Video Models: e.g., Imagen Video, Cog Video.
  • Text-to-3D Models: Used for creating game assets (e.g., OpenAI’s Shape-E).
  • Text-to-Task Models: Perform specific tasks (e.g., summarizing unread emails in Gmail).

Large Language Models (LLMs)

  • Definition: Subset of DL, generally pre-trained with large datasets and fine-tuned for specific purposes.
  • Training Example: Pre-trained dog vs. fine-tuned guide/police dog.
  • Real-World Scenario: Hospitals fine-tuning pre-trained LLMs with medical data for diagnostic purposes.
  • Business Model: Big tech companies develop general LLMs and sell to smaller institutions for domain-specific fine-tuning.

Course Details

  • Modules: Five total, badges awarded for each.
  • Pro Tip: Right-click video player to copy video URL at the current time for easy navigation.
  • Recommendation: Follow-up with a video on mastering prompting.

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