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Google created MapReduce more than 20 years ago to solve the scaling problems in data processing that the then young company was running into. The AI era that we are in now demands efficient, large-scale data processing for everything from training frontier models like Gemini by Google DeepMind to p

#cloud-computing#data-processing#machine-learning#big-data#ai

· 2 days ago· Dev.to

India's Cloud Future Hinges on Innovative Sparse Embedding Techniques.

In the previous post, we saw some basic methodologies under sparse embeddings. In that, term frequency(TF) had a fallback when same words are repeated too often. To overcome the shortcomings of TF, next method was introduced. We shall see them in detail: Inverse document frequency(IDF) If i ask quer

#cloud-computing#sparse-embeddings#machine-learning#data-processing

· 4 days ago· DeepLearning.AI Updates

Batch Data Processing Lab Assignment 2 Requires Cell Information

I think I’ve lost the correct cell function for Exercise 1, the Response cell function: 2 posts - 2 participants Read full topic

#ai#data-processing#cell-functions#batch-processing