Master Dual Encoder Models for Superior Semantic Search

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Vectara and Ofer Mendelevitch have partnered to offer a free course, Embedding Models: From Architecture to Implementation, teaching how to build dual encoder models.

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New Course Alert!

Unlike single embedding models (currently used in most LLMs), dual encoders use separate models for questions and answers, boosting search relevance with semantics.

Why Dual Encoder Matters?

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The course covers various aspects, including word embeddings, embedding to BERT evolution, cross-encoder models, sentence embedding, and more.

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What Does the Course Offer?

Ofer Mendelevitch, Head of Developer Relations at Vectara, specializing in LLMs, deep learning, machine learning, and semantic search, will lead the sessions.

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Who Is Heading the Course?

You can head straight to the website, DeepLearning.AI to enroll in the course for free.

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How to Enroll?