transformers Tools

AI Engineering from Scratch is a comprehensive, open-source curriculum that provides the missing spine for AI education. It solves the problem of scattered, framework-first learning by having you implement every core algorithm—from backprop to transformers—using only math and code, before any libraries are introduced. It's designed for engineers and students who want deep, foundational understanding and the ability to build, debug, and ship AI systems with confidence.

Soup is a CLI tool that automates the entire fine-tuning stack for large language models. It solves the complexity of configuring training runs by automatically generating optimal settings, handling data preparation, and enabling training of large models on limited hardware through layer streaming. It's for ML engineers and researchers who want to fine-tune models efficiently without vendor lock-in or manual hyperparameter tuning.

This is a beginner-friendly course designed to demystify Generative AI and provide practical building skills. It solves the problem of overwhelming complexity by breaking down AI concepts into 21 digestible lessons. It's for developers, students, and anyone new to AI who wants to move from theory to application and start creating their own AI-powered projects.