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dual-encoder

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ksm26 / Embedding-Models-From-Architecture-to-Implementation

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Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.

machine-learning word2vec word-embeddings embedding-models semantic-search bert model-training sentence-embeddings contrastive-loss dual-encoder bert-model bert-embeddings transformer-models bert-fine-tuning ai-applications ai-architecture rag-systems question-answer-retrieval
  • Updated Aug 21, 2024
  • Jupyter Notebook

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