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Update Search_reranking_with_cross-encoders.ipynb (#1060)

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Elmira Ghorbani 2024-02-23 23:13:31 +03:30 committed by GitHub
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examples/Search_reranking_with_cross-encoders.ipynb
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"\n",
"There is also a latency impact of using ```text-davinci-003``` that you'll need to consider, with even our few examples above taking a couple seconds each - again, the ```Fine-tuning``` endpoint may help you here if you are able to get decent results from an ```ada``` or ```babbage``` fine-tuned model.\n",
"\n",
"We've used the ```Completions``` endpoint from OpenAI to build our cross-encoder, but this area is well-served by the open-source community. [Here](https://huggingface.co/cross-encoder/mmarco-mMiniLMv2-L12-H384-v1) is an example from HuggingFace, for example.\n",
"We've used the ```Completions``` endpoint from OpenAI to build our cross-encoder, but this area is well-served by the open-source community. [Here](https://huggingface.co/jeffwan/mmarco-mMiniLMv2-L12-H384-v1) is an example from HuggingFace, for example.\n",
"\n",
"We hope you find this useful for tuning your search use cases, and look forward to seeing what you build."
]