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                   <p>This application utilizes the <a href="https://huggingface.co/Xenova/whisper-small" target="_blanck"><strong>Xenova/whisper-small</strong></a> model for audio transcription, which is implemented using <a href="https://huggingface.co/docs/transformers.js/index" target="_blanck"><strong>transformers.js</strong></a> and leverages <strong>WebGPU</strong> in the browser for efficient processing.</p>
                   <p>For EAD generation, the application uses the <a href="https://huggingface.co/Geraldine/FineLlama-3.2-3B-Instruct-ead-GGUF" target="_blanck">Q5_K_M</a> quantized variant of the fine-tuned model <a href="https://huggingface.co/Geraldine/FineLlama-3.2-3B-Instruct-ead" target="_blanck"><strong>Geraldine/FineLlama-3.2-3B-Instruct-ead</strong></a>. This model is designed to understand and generate EAD/XML records based on the user’s instructions and context.</p>
-                  <p>See this post for explanations on fine-tuning</p>
+                  <p>See this <a href="https://iaetbibliotheques.fr/2024/12/comment-apprendre-lead-a-un-llm-fine-tuning-33" target="_blanck">blog post</a> for explanations on fine-tuning</p>
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