Beginner's Roadmap to Learn Generative AI in 2024
1. User
To start learning Generative AI as a User, follow these steps:
- Sign up and create an account on any Generative AI tools (e.g., ChatGPT, BARD, Midjourney, Dalle 2, Stable Diffusion).
- Gain hands-on experience with these tools.
- Understand the capabilities and features of Generative AI tools.
- Experiment with the tools to explore their pros and cons.
2. Super User
After becoming familiar with Generative AI tools, enhance your knowledge as a Super User:
- Learn about Prompt Engineering.
- Explore effective prompts for Generative AI tools.
- Understand best practices for writing prompts.
3. Developer
For Developers, the roadmap includes:
Prerequisites
Before diving into Generative AI development, ensure you have a good understanding of:
- Probability and Statistics concepts.
- Linear Algebra concepts.
- Calculus concepts.
- Programming languages like Python/R.
Machine Learning
- Comfortable with supervised and unsupervised learning algorithms.
- Build machine learning models on tabular datasets.
Deep Learning
- Understand deep learning architectures (MLP, RNNs, LSTMs, GRUs, CNNs).
- Hands-on experience with deep learning frameworks (Keras, Tensorflow, Pytorch, or FastAI).
- Train deep learning models, including MLP, RNNs, CNNs.
Generative Models for NLP and Computer Vision
Choose your path:
3.3.1 Generative Models for NLP
- Master Large Language Models (LLMs) like Transformers, BERT, GPT 3.5, PaLM 2.
- Use LLMs for downstream tasks and finetuning.
- Explore models like ChatGPT and BARD.
3.3.2 Generative Models for Computer Vision
- Learn about diffusion models.
- Understand stable diffusion models.
- Explore models like Mid Journey, DALLE 2.
4. Researcher
For aspiring Researchers in Generative AI:
NLP Researcher
- Implement attention models, KQV attention, layer normalization, positional encoding.
- Build your own GPT architecture.
- Learn reinforcement learning algorithms and PPO.
- Implement RLHF.
- Build ChatGPT from scratch.
- Stay updated with current trends in Generative AI for NLP.
Computer Vision Researcher
- Build diffusion models from scratch.
- Implement stable diffusion.
- Stay updated with current trends in Generative AI for Computer Vision.
This roadmap is a guide to help you progress from being a User to a Researcher in Generative AI. Customize your learning path based on your interests and goals.
