#Author
Nicholas Gulrajani
WORK IN PROGRESS (WIP)
AI Knowledge Barn Welcome to the AI Knowledge Barn, a comprehensive repository of coded examples and architectural insights spanning the vast field of Artificial Intelligence, from fundamental Machine Learning concepts to cutting-edge Generative AI techniques. Purpose This repository aims to be a one-stop resource for developers, researchers, and enthusiasts looking to understand and implement AI technologies. Whether you're a beginner taking your first steps into the world of AI or an experienced practitioner seeking reference implementations, you'll find valuable content here. What's Inside Our AI Knowledge Barn contains:
Code Examples: Practical, runnable code snippets and full projects demonstrating various AI and ML concepts. Architectural Diagrams: Visual representations of AI system designs and neural network architectures. Explanatory Documentation: Clear, concise explanations accompanying each example and diagram. Implementation Guides: Step-by-step tutorials on how to build and deploy AI models. Best Practices: Insights on AI development, model training, and deployment strategies.
Topics Covered
Machine Learning Fundamentals Deep Learning and Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning Generative AI and Large Language Models AI Ethics and Responsible AI Development
How to Use This Repository Browse through the folders to find topics of interest. Each section contains:
README files with theoretical background Code files with implementation details Jupyter notebooks for interactive learning Resources and references for further reading