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The output of a machine learning (ML) training process is a trained model. This model is an artifact that has learned patterns and relationships from the training data.…
Using a .h5 model directly for Retrieval-Augmented Generation (RAG) is not the typical or most efficient approach. Here’s why and how you would generally integrate a .h5 model…
In the realm of computer science, especially within the fields of machine learning and deep learning, a tensor is a fundamental data structure. Think of it as a…
PyTorch’s fundamental data structure is the Tensor. It’s the central object for numerical computation in PyTorch, analogous to NumPy’s ndarray but with added capabilities for GPU acceleration and…
Google BigQuery is a fully managed, serverless, and cost-effective data warehouse that enables super-fast SQL queries using the processing power of Google’s infrastructure. It’s designed for analyzing massive…
Vertex AI is Google Cloud‘s unified platform for machine learning (ML) and artificial intelligence (AI). It’s designed to help data scientists and ML engineers build, deploy, and scale…
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