AI Learning Path
Use the frame as the visual lesson area. Start broad, then move into models, training, and local deployment.
1. ConceptsWhat AI is, what models do, and how prompts guide behavior.
2. Machine LearningData, loss, training, testing, overfitting, and prediction.
3. Neural NetworksLayers, weights, activation, backpropagation, and representation.
4. TransformersAttention, tokens, context windows, embeddings, and LLM behavior.
5. Local LLMsOllama, llama.cpp, vLLM, Hugging Face, Open WebUI, and your cluster.
6. Aethra BuildSpecialized math, physics, hardware, and research-grade AI systems.