How to Benchmark Embedding Models On Your Own Data
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Last week we launched the short course Embedding Models: From Architecture to Implementation with Vectara! Join in and gain an in-depth understanding of the architecture behind embedding models; learn how to use different models such as Word2Vec and BERT in various semantic search systems, and build and train a dual encoder models using contrastive loss, enhancing the accuracy of question-answer retrieval applications. Start learning today: https://hubs.la/Q02K82Zj0 | DeepLearning.AI
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