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Add Part 5, preview images, update series links
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@@ -3,7 +3,7 @@ title: "Fine-Tuning Sparse Embeddings for E-Commerce Search | Part 2: Training S
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short_description: "Train a SPLADE model on Amazon's ESCI dataset using Modal's serverless GPUs and Sentence Transformers."
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description: "Part 2 of a 4-part series on fine-tuning SPLADE sparse embeddings for e-commerce search. Build a training pipeline on Modal with persistent checkpoints, SpladeLoss, and hyperparameter sweeps."
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preview_dir: /articles_data/sparse-embeddings-ecommerce-part-2/preview
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social_preview_image: /articles_data/sparse-embeddings-ecommerce-part-2/preview/social_preview.png
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social_preview_image: /articles_data/sparse-embeddings-ecommerce-part-2/preview/social_preview.jpg
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weight: -199
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author: Thierry Damiba
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author_link: https://github.com/thierrydamiba
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@@ -18,6 +18,7 @@ category: practicle-examples
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- Part 2: Training SPLADE on Modal (here)
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- [Part 3: Evaluation & Hard Negatives](/articles/sparse-embeddings-ecommerce-part-3/)
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- [Part 4: Specialization vs Generalization](/articles/sparse-embeddings-ecommerce-part-4/)
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- [Part 5: From Research to Product](/articles/sparse-embeddings-ecommerce-part-5/)
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---
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