Multi-Head RAG: Solving Multi-Aspect Problems with LLMs

we propose Multi-Head RAG (MRAG): a scheme that addresses the above problem (contribution 1). Common practice in many modern RAG designs is to use embeddings derived fromlast-layer decoder block activationsof a decoder-basedembedding LLM(a language model specifically fine-tuned to provide high-quality embeddings). Examples o...

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tf.keras.layers.MultiHeadAttention | TensorFlow v2.16.1

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