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    AI distillation is a method that involves training a smaller model to mimic the behavior of a larger, more complex model. This technique is essential for making AI more accessible and practical for real-world applications. It is often referred to as knowledge distillation, where knowledge is transferred from a large pre-trained model (the "teacher") to a smaller model (the "student"). This process helps in model compression and allows smaller models to achieve performance levels similar to their larger counterparts.
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    Why AI Distillation is the Key to Building Faster and Cheaper Models
    AI distillation is a method that involves training a smaller model to mimic the behavior of a larger, more complex model. This technique is essential for making AI more accessible …
    www.rapidinnovation.io
    https://www.rapidinnovation.io/post/why-ai-distillation-key-building-faster-cheaper-models
    Knowledge distillation - Wikipedia
    In machine learning, knowledge distillation or model distillation is the process of transferring knowledge from a large model to a smaller one.
    Wikipedia
    https://en.wikipedia.org/wiki/Knowledge_distillation
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    What is Knowledge distillation? - IBM
    Knowledge distillation is a machine learning technique that aims to transfer the learnings of a large pre-trained model, the “teacher model,” to a smaller “student model.” It’s use…
    IBM
    https://www.ibm.com/think/topics/knowledge-distillation
    Model Distillation in the API - OpenAI
    Model distillation involves fine-tuning smaller, cost-efficient models using outputs from more capable models, allowing them to match the performance of advanced models on specific…
    OpenAI
    https://openai.com/index/api-model-distillation/
    www.rapidinnovation.io
    wikipedia.org
    ibm.com
    openai.com
     
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