How do machines discover the most relevant information from millions of records of big data? They use embeddings – vectors that represent meaning from text, images, or audio files. Embeddings allow computers to compare and ultimately understand more complex forms of data by giving their relation a measure in mathematical space. But how do we […]
The post How to Optimize Embeddings for Accurate Retrieval? appeared first on Analytics Vidhya.
How do machines discover the most relevant information from millions of records of big data? They use embeddings – vectors that represent meaning from text, images, or audio files. Embeddings allow computers to compare and ultimately understand more complex forms of data by giving their relation a measure in mathematical space. But how do we
The post How to Optimize Embeddings for Accurate Retrieval? appeared first on Analytics Vidhya.
