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The new revolution of Generative AI models
  • Introduction
  • Basic concepts on Generative AI
    • Computational creativity
    • Intelligence? Creativity?
    • Artificial Intelligence
    • Machine Learning
    • Deep Learning
      • What makes a cat a cat?
      • Artificial neuron
      • Neural networks
      • Some traditional neural network architectures
      • Discriminative AI vs. Generative AI
    • Generative AI
    • NLP: Natural Language Processing
      • Language models
        • Word embeddings
        • LLMs (Large Language Models)
      • Transformers
      • GPT models
        • chatGPT
    • Image generation
      • Autoencoders
      • GANs
      • Stable Diffusion model
    • This has just started...
  • Main Generative AI tools
    • Pre-trained models
    • Chatbots, search engines and LLMs
      • Whisper for automatic speech recognition
    • Coding
    • Arts and graphics
      • Stable Diffusion Web UI for image generation (among other tools)
      • StableDiffusion for generating animations between prompts
      • Topic-driven image generation with DreamBooth
        • Lensa app
      • Point-E
      • NeRF & DreamFusion
    • Writing
    • Research
    • Video
    • Music
      • Jukebox
  • Can we develop new solutions?
    • Summarizing and translating videos from YouTube
    • Converting a YouTube video to an article, caption included
    • Creating and illustrating a story from a storyline
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  1. Basic concepts on Generative AI

This has just started...

Generative AI models have no limits

We are just at the beginning of a new set of possibilities.

Images, video, 3D, animations, speech, sound, music.... everything can be potentially created using this new kind of models fed by the huge amount of information we can get in the Internet.

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Last updated 2 years ago