www.analyticsdrift.com
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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.
Image source: Deeplearning.ai
Unlike single embedding models (currently used in most LLMs), dual encoders use separate models for questions and answers, boosting search relevance with semantics.
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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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Ofer Mendelevitch, Head of Developer Relations at Vectara, specializing in LLMs, deep learning, machine learning, and semantic search, will lead the sessions.
Image source: Deeplearning.ai
You can head straight to the website, DeepLearning.AI to enroll in the course for free.
Image source: Deeplearning.ai