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Notes on Contributions

CONTRIBUTING.md

Notes on Pull Requests and Issues

NOTES_ON_PULL_REQUESTS_AND_ISSUES.md

Deep Dive into AI with MLX and PyTorch - The Book

Part I: Foundations and First Steps - 'The Genesis of AI'

ai-kitchen.png

In this part, we introduce the readers to the world of AI. We start with the very basics, discussing the fundamentals of artificial intelligence, the architecture of neural networks, and the principles of regression. This section sets the stage for the rest of the book, serving as a comprehensive guide to the building blocks of AI. Tenny, the Analyst serves as our guide, helping to illustrate these concepts in a practical, engaging manner.

Prolog - Hello AI World

Chapter 1 - The Story of A Tensor

Chapter 2 - The Adventure of Tenny, the Tensor: A Hero's Journey

Chapter 3 - Foundations of Neural Networks: A Comprehensive Overview

Chapter 4 - The Rise of Tenny, the Analyst: Tenny Takes on Wall Street

Chapter 5 - Crafting and Nurturing Data: The A to Z of Data Prep in the AI Kitchen

Chapter 6 - Refactoring Data Workflow for Tenny

Chapter 7 - Inspecting Data Workflow for Tenny

Chapter 8 - Refining the Recipe in the AI Kitchen

Part II: The Art of Classification - 'Navigating the AI Labyrinth'

tenny-classifier-2.png

Here, we dive into the complexities of AI, exploring the art of creating classification criteria and applying these concepts to real-world data. This section is about expanding our horizon beyond the basics, understanding how AI can be tailored to specific needs and scenarios. We follow the journey of Tenny, the Stock Classifier, demonstrating how theoretical knowledge is translated into practical applications.

Chapter 9 - Exploring the Art of Classification with Tenny

Chapter 10 - Crafting Your Own Classification Criteria: Owning Your Decisions

Chapter 11 - Tenny, the Stock Classifier

Part III: The Language of AI - 'Conversing with the Future'

tenny-the-transformer.png

Part III is dedicated entirely to Natural Language Processing (NLP) and the transformative technology of transformers. Here, we explore how AI understands, interprets, and generates human language. The highlight is the creation of Tenny, the Transformer Sentiment Analyst with an Attitude, demonstrating the advanced capabilities of AI in understanding not just language but also the nuances of human emotions and sentiments, well, with an Attitude.

Chapter 12 - Tenny the Sentiment Analyst

Chapter 13 - Tenny, the Transformer

Chapter 14 - Tenny the Transformer Sentiment Analyst With an Attitude

Chapter 15 -Tenny, the Transformer Sentiment Analyst with an Attitude Is Born

Part IV: The Eyes of AI - 'Visionary Insights through AI'

cwk-x.png Part IV will focus exclusively on computer vision. We'll discuss the basics of how machines perceive and interpret visual data, and then dive deeper into more complex applications like image generation. This section will cover the fundamentals of GANs (Generative Adversarial Networks) and diffusion models, culminating in the creation of Tenny, the Vision Weaver. This part will showcase AI's ability to not only 'see' but also create visual content, highlighting the cutting-edge advancements in computer vision.

Chapter 16 - Tenny, the Convoluter: How Machines See the World

Chapter 17 - Tenny the Vision Weaver

Part IV draws the curtain on our journey.