Open hanna-paasivirta opened 1 week ago
For the record I would be happy with a manual test process which goes something like this:
We may also need to factor in drift from the LLM end itself - as eg Anthropic updates its model, I don't know how tightly we can version lock, so we may see a natural variance.
New prompts should be tested to evaluate their performance and minimise unexpected issues in production. This will likely involve accumulating generated test datasets targeting different issues, as well as using LLM-based evaluation to check if each test passed (T/F) to produce a score.