An LLM purpose built for data annotation
outperforms GPT-3.5. Try it out here: https://labs.refuel.ai/playground Refuel LLM (84.2%) outperforms trained human annotators (80.4%), GPT-3-5-turbo (81.3%), PaLM-2 (82.3%) and Claude (79.3%) across a benchmark of 15 text labeling datasets.
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New LLM outperforming GPT-3.5
news.ycombinator.comRefuel LLM (84.2%) outperforms trained human annotators (80.4%), GPT-3-5-turbo (81.3%), PaLM-2 (82.3%) and Claude (79.3%) across a benchmark of 15 text labeling datasets.
Open-source LLM for data labeling
huggingface.coText Generation model with 8B parameters. Download, explore files and run it on Hugging Face.
I built the LLM Comparison Tool I wish existed
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LLM Optimize
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Efficient Data Formats for GPT
nikas.praninskas.comSome data formats take up more tokens and are more expensive to use with LLM models like ChatGPT