Curriculum

AI Engineering

Measuring the apparatus built around a component you did not train, cannot see inside of, and that can give two different answers to the same input: the number of the bare call, what the apparatus adds, and what the apparatus costs as tokens, calls, steps and share of failures. The surface of the model and its token cost, prompt design and reasoning techniques, building production-quality applications with model endpoints, retrieval-augmented generation with embedding vectors, the architecture and memory of tool-using agents, the structure of the tool server protocol, and measuring the defense layers against the attack surface specific to language models.

Measuring the apparatus built around a component you did not train, cannot see inside of, and that can give two different answers to the same input: the number of the bare call, what the apparatus adds, and what the apparatus costs as tokens, calls, steps and share of failures. The surface of the model and its token cost, prompt design and reasoning techniques, building production-quality applications with model endpoints, retrieval-augmented generation with embedding vectors, the architecture and memory of tool-using agents, the structure of the tool server protocol, and measuring the defense layers against the attack surface specific to language models.