mirror of
https://github.com/hwchase17/langchain
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8441cbfc03
I've found it useful to track the number of successful requests to OpenAI. This gives me a better sense of the efficiency of my prompts and helps compare map_reduce/refine on a cheaper model vs. stuffing on a more expensive model with higher capacity. |
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| .. | ||
| async_llm.ipynb | ||
| custom_llm.ipynb | ||
| fake_llm.ipynb | ||
| llm_caching.ipynb | ||
| llm_serialization.ipynb | ||
| llm.json | ||
| llm.yaml | ||
| streaming_llm.ipynb | ||
| token_usage_tracking.ipynb | ||