[P] Alignment-as-code: Making LLM applications behave with Tanuki.

I'm a contributor to [Tanuki](https://github.com/Tanuki/tanuki.py), a project that allows you to declaratively define LLM behaviour using test-driven syntax in Python.

By specifying the contract that an LLM has to fulfil as a test, it helps cut down on MLOps and enables you to align the behaviour of your model to your requirements using a standard dev-ops process.

Additionally, these align statements facilitate automatic teacher-student model distillation to reduce cost and latency by up to 10x (see benchmarks).

Any thoughts or …

benchmarks cost dev distillation latency llm machinelearning mlops model distillation ops process reduce requirements standard test thoughts