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[N] Fine-Tuning OpenAI Language Models with Noisily Labeled Data (37% error reduction)
May 2, 2023, 5:17 p.m. | /u/cmauck10
Machine Learning www.reddit.com
It's pretty well known that LLMs have solidified their place at the forefront of natural language processing, and are constantly pushing the boundaries of what is possible in terms of language understanding and generation.
I spent some time playing around with the OpenAI fine-tuning API and I discovered that noisy data still has drastic effects even on powerful LLMs like Davinci.
![img](9jrp0dvobgxa1 "Improving fine-tuning accuracy by improving data quality.
")
I wrote up a [quick article](https://www.kdnuggets.com/2023/04/finetuning-openai-language-models-noisily-labeled-data.html) in KDNuggets …
api data error fine-tuning language language models language processing language understanding llms machinelearning natural natural language natural language processing openai playing processing terms understanding
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