Скачать или смотреть How Are Input Embeddings And Positional Encoding Combined?

Ever wondered how AI models make sense of sequential data like text? This video dives into the crucial techniques of input embeddings and positional encoding, explaining their individual roles and, most importantly, how they're seamlessly combined to give neural networks a comprehensive understanding of both meaning and order.

In this explanation, we uncover:
► What input embeddings are and how they represent words or tokens numerically.
► The role of positional encoding in injecting sequence order information into these embeddings.
► How these two distinct vector types are combined, typically through addition, to form a rich input for Transformer models.
► The fundamental importance of this combination for tasks like natural language processing and understanding context.


#InputEmbeddings, #PositionalEncoding, #TransformerModels, #NLP, #DeepLearning, #AIExplained