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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 |