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This PR adds additional evaluation metrics for data-augmented QA, resulting in a report like this at the end of the notebook:  The score calculation is based on the [Critique](https://docs.inspiredco.ai/critique/) toolkit, an API-based toolkit (like OpenAI) that has minimal dependencies, so it should be easy for people to run if they choose. The code could further be simplified by actually adding a chain that calls Critique directly, but that probably should be saved for another PR if necessary. Any comments or change requests are welcome! |
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| .. | ||
| _static | ||
| ecosystem | ||
| getting_started | ||
| modules | ||
| reference | ||
| tracing | ||
| use_cases | ||
| conf.py | ||
| deployments.md | ||
| ecosystem.rst | ||
| gallery.rst | ||
| glossary.md | ||
| index.rst | ||
| make.bat | ||
| Makefile | ||
| reference.rst | ||
| requirements.txt | ||
| tracing.md | ||
