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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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  1. New LLM outperforming GPT-3.5

    news.ycombinator.com

    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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  2. Open-source LLM for data labeling

    huggingface.co

    Text Generation model with 8B parameters. Download, explore files and run it on Hugging Face.

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  3. I built the LLM Comparison Tool I wish existed

    llm-stats.com

    The AI Leaderboard — independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and 300+ AI models by intelligence, speed and price. Composite LLM Stats Score updated continuously from public benchmarks and live API metrics.

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  4. LLM Optimize

    github.com

    blackbox string optimization and AutoML with GPT-4

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  5. Efficient Data Formats for GPT

    nikas.praninskas.com

    Some data formats take up more tokens and are more expensive to use with LLM models like ChatGPT

    Hacker News6점