Part 21: Generative AI Fundamentals - LLMs, Embeddings & Vector Spaces
Understand transformer architecture, tokenization, temperature, embeddings, cosine similarity, and vector math behind large language models.
Understand transformer architecture, tokenization, temperature, embeddings, cosine similarity, and vector math behind large language models.
Master modern Generative AI engineering. Learn Transformer self-attention math, tokenization mechanics, embedding vector spaces, local runtimes (Ollama/vLLM), and strict JSON structured outputs.