In-depth insights into software architecture, best practices, and lessons learned from real production systems.
A practical analysis of when microservices make sense and when they do not. Based on real successes and failures in distributed systems architecture.
These videos are carefully curated external resources selected by Profectus Lab to help engineers understand modern AI and system design principles.
A rare hands-on explanation of GPT internals, connecting theory with real code. Ideal for engineers who want to truly understand how modern LLMs are built.
A clean and structured introduction to LLMs. Perfect entry point before diving into architecture or implementation.
Builds correct mental models for machine learning. Focuses on understanding principles, not memorizing tools.
A precise architectural explanation of transformers without oversimplification.
Explains the core idea behind transformers in a focused and understandable way.
Removes fear of math and builds genuine understanding of neural network training.
A perfect starting point for understanding how neural networks work conceptually.
A comprehensive hands-on course focused on practical ML projects.
Visual explanation that complements deeper technical materials.
