Table of Contents
Introduction
Are you tired of the same old world? Do you dream of painting landscapes with your code, composing symphonies with data, or crafting stories that dance with reality itself? Then open your mind to the enchanting realm of Generative AI! ✨
The Prerequisites
- Coding Prowess: Python is your Rosetta Stone to the AI kingdom. Start with the basics, then level up with libraries like TensorFlow and PyTorch. Think of it as learning a secret language to speak to machines! Check out these beginner-friendly courses:
- Data Delving: ️♀️ Data is the fuel that powers Generative AI’s engines. Learn how to find, clean, and wrangle it like a pro. Think of it as mining for the hidden gems that will shape your creations! Here are some treasure maps:
The Learning Landscape:
Now, let’s explore our options
- Structured Courses: Platforms like Coursera and Udacity offer beginner-friendly courses on Generative AI, Deep Learning, and specific models like GANs. Think of them as boot camps for your AI muscles! Check out these popular options:
- Interactive Notebooks: Websites like Google Colab and Kaggle let you experiment with code and models right in your browser. No installation needed! Think of them as playgrounds where you can test your AI skills without setting up your own lab. Here are some fun playgrounds:
- YouTube & Blogs: Learn from the wisdom of AI gurus! Channels like Two Minute Papers and Lex Fridman offer bite-sized explanations, while blogs like DeepMind and OpenAI share cutting-edge research. Think of them as your AI mentors and libraries filled with knowledge! Check out these channels and blogs:
The Secret Weapon: Prompt Engineering: 🪄
Crafting the perfect prompt is like whispering secret instructions to your AI muse. But there’s no one-size-fits-all approach! Exploring different types of prompts unlocks a spectrum of possibilities in your Generative AI creations. Here’s a sneak peek:
Learn more about prompt engineering from the below link https://www.pantherschools.com/the-secret-weapon-prompt-engineering/
Points to remember while writing prompt
- Use clear and concise language in prompts.
- Provide relevant context and data.
- Adjust temperature for creativity or accuracy.
- Experiment with different prompt formats and lengths.
- Integrate model responses into Salesforce workflows using provided APIs.
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