Data Pipeline, Document and System Architecture

Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

DECEMBER 4, 2024

It seems straightforward at first for batch data, but the engineering gets even more complicated when you need to go from batch data to incorporating real-time and streaming data sources, and from batch inference to real-time serving. Without the capabilities of Tecton , the architecture might look like the following diagram.

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

MARCH 12, 2024

Data and workflow orchestration: Ensuring efficient data pipeline management and scalable workflows for LLM performance. It involves transforming textual data into numerical form, known as embeddings, representing the semantic meaning of words, sentences, or documents in a high-dimensional vector space.

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Real value, real time: Production AI with Amazon SageMaker and Tecton

LLMOps: What It Is, Why It Matters, and How to Implement It

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