Generative AI

Where Do I Start With Generative AI?

Diving into the world of generative AI can be exciting, but it’s also easy to feel overwhelmed by the possibilities. To get you started, here are a few different approaches you can take, depending on your interests and goals:

1. Identify your focus:

  • User: If you’re curious and want to experience generative AI without coding, try online platforms like Playground by Google AI or NightCafe Creator. These offer user-friendly interfaces to play with text, image, and code generation.
  • Super User: Explore pre-trained models through interactive notebooks on sites like Colab or Gradio. This lets you experiment with code and prompts without building your own model.
  • Developer: If you’re comfortable with coding, jump into building your own models using frameworks like TensorFlow or PyTorch. Plenty of tutorials and open-source code are available online.
  • Researcher: Dive deep into the research side of generative AI. Follow top researchers on Twitter, read research papers, and attend conferences to stay updated on the latest advancements.

2. Choose your path:

  • Creative Applications: Unleash your creativity by generating text formats like poems, scripts, and music, or create stunning images and artwork.
  • Problem-Solving Applications: Explore how generative AI can tackle real-world challenges like drug discovery, materials science, and personalized learning.
  • Business Applications: Learn how businesses leverage generative AI for marketing, product design, and customer service optimization.

3. Build your knowledge:

  • Get familiar with the basics: Understand core concepts like GANs, VAEs, and autoregressive models. Resources like MIT’s “Generative Deep Learning” course or Stanford’s CS231n can help.
  • Learn basic coding: Python is the most common language for building generative AI models. Online tutorials and beginner-friendly courses can get you started.
  • Join the community: Connect with other generative AI enthusiasts on forums, online communities, and social media groups. You can learn from each other, share tips, and stay updated on the latest developments.

Remember, the best way to get started is to choose an approach that excites you and take small steps. Don’t be afraid to experiment, ask questions, and learn from your mistakes. The possibilities with generative AI are endless, so have fun and explore!