<ul><li>The use of Large Language Models (LLMs) like GPT-4 in natural language processing has been limited due to their size and computational intensity in resource-sensitive contexts.</li><li>To address this, knowledge distillation is used to transfer the intellectual capabilities of a large model to a smaller and more efficient model.</li><li>The process involves data generation, data preparation, and fine-tuning stages to train the smaller model (GPT-3.5-turbo) to mimic the responses of the larger model (GPT-4).</li><li>The successful completion of the knowledge distillation process using OpenAI API has resulted in a smaller model that can emulate the behavior of the larger model, making LLM capabilities more accessible and efficient.</li></ul>

Distilling LLM Power with OpenAI’s API for Agile AI

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