Smart Data Collective

JUNE 10, 2022

In this role, you would perform batch processing or real-time processing on data that has been collected and stored. As a data engineer, you could also build and maintain data pipelines that create an interconnected data ecosystem that makes information available to data scientists. Applications Architect.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

AWS Machine Learning Blog

FEBRUARY 24, 2023

The solution is then able to make predictions on the rest of the training data, and route lower-confidence results for human review. In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture.

ML 96

ML ML AWS Data Pipeline 96

The MLOps Blog

MARCH 12, 2024

Data and workflow orchestration: Ensuring efficient data pipeline management and scalable workflows for LLM performance. Observability tools: Use platforms that offer comprehensive observability into LLM performance, including functional logs (prompt-completion pairs) and operational metrics (system health, usage statistics).

Database 52

Database Machine Learning Machine Learning AI 52