Fundamental AI

The frameworks, tools, and research powering artificial intelligence. This portfolio maps the full AI stack — from foundational research papers to production infrastructure: - Deep learning frameworks (PyTorch, TensorFlow, JAX) - Large language models and inference (Transformers, vLLM, Ollama, llama.cpp) - Computer vision (OpenCV, YOLO, Stable Diffusion) - NLP and speech (spaCy, Whisper, LangChain) - Reinforcement learning (Gymnasium, Stable Baselines) - MLOps and experiment tracking (MLflow, Weights & Biases, Ray) - Seminal research (Attention Is All You Need, ResNet, BERT, GPT, and thousands more) PRSM reveals what's underneath: the hidden dependencies, the infrastructure nobody credits, the actual foundations of AI.

Created 3/27/2026 - Last updated 3/27/2026