Their testing and grading process is fast, driven by a combination of LLMs and traditional algorithms. Talc AI's business model is straightforward, charging for each test created and each example graded against the test. The team is eager to receive feedback from the HN community.
Key takeaways:
- Max and Matt from Talc AI offer automated QA for applications built on top of an LLM, aiming to solve the issue of manual testing that slows down development and often leads to unexpected behavior.
- They use ideas from academia to benchmark the general capabilities of language models, generating domain specific test cases that run against actual prompts and code.
- Their testing and grading process is fast, driven by a mixture of LLMs and traditional algorithms, and can turn around in minutes.
- Their business model charges for each test created and for each example graded against the test.