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Taking the Klarna API as an example, uses evaluation chain's to judge the quality of the request and response synthesizers based on a small set of curated queries. Also updates intermediate steps for chain to emit a dict so each step can be keyed for lookup  |
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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 | ||
model_laboratory.ipynb | ||
reference.rst | ||
requirements.txt | ||
tracing.md |