eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
Why it matters
It bundles versioning, tracing, domain-specific evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition →, and private fine-tuningTaking a trained model and training it a bit more on your own examples so it gets better at one specific job.Full definition → behind one provider platform, which is relevant if your LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition → features currently live as untracked prompts and one-off deploy scripts.
