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What are the pros and cons of training your own encoder model for semantic search, versus using a pre-retrained model, like the Elastic Learned Sparse Encoder (ELSER)? Elastic Solutions Architect Tanya Kalich shares her expertise in this week’s episode of Elastic Snackable Shorts . | Elastic | Facebook
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What are the pros and cons of training your own encoder model f…
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FacebookElastic
What are the pros and cons of training your own encoder model for semantic search, versus using a pre-trained model, like ELSER? Elastic Director, Product Marketing, Jessica Taylor, expertise in this week’s episode of the Elastic Snackable Series 🎬. Watch the full video here: https://go.es.io/4fHQkoj | Elastic
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We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence — whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30x longer than possible previously. Read more: https://openai.com/blog/sparse-transformer/ | OpenAI
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