AWS Machine Learning Blog

APRIL 5, 2023

The dataset is a collection of 147,702 product listings with multilingual metadata and 398,212 unique catalogue images. For demo purposes, we use approximately 1,600 products. There are 16 files that include product description and metadata of Amazon products in the format of listings/metadata/listings_.json.gz.

Metadata 106

Metadata Neural Network ML Python 106

The MLOps Blog

JUNE 27, 2023

Core features of end-to-end MLOps platforms End-to-end MLOps platforms combine a wide range of essential capabilities and tools, which should include: Data management and preprocessing : Provide capabilities for data ingestion, storage, and preprocessing, allowing you to efficiently manage and prepare data for training and evaluation.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

ODSC - Open Data Science

JULY 26, 2024

Streamlining Unstructured Data for Retrieval Augmented Generatio n Matt Robinson | Open Source Tech Lead | Unstructured Learn about the complexities of handling unstructured data, and practical strategies for extracting usable text and metadata from it. You’ll also discuss loading processed data into destination storage.

Data Scientist 52

Data Scientist Robotics Metadata Data Science 52

ODSC - Open Data Science

SEPTEMBER 17, 2024

Bitter Lessons Learned While Building Production-quality RAG Systems for Professional Users of Academic Data Jeremy Miller | Product Manager, Academic AI Platform | Clarivate The gap between a RAG Demo and a Production-Quality RAG System remains stubbornly difficult to cross.

LLM 52

LLM Large Language Models Metadata Data Science 52

The MLOps Blog

FEBRUARY 13, 2025

The solution lies in systems that can handle high-throughput data ingestion while providing accurate, real-time insights. A solution lies in adopting a single source of truth for all experiment metadata, encompassing everything from input data and training metrics to checkpoints and outputs. Tools like neptune.ai

Data Ingestion 59

Data Ingestion Automation Software Engineer Metadata 59

The MLOps Blog

MAY 9, 2023

The components comprise implementations of the manual workflow process you engage in for automatable steps, including: Data ingestion (extraction and versioning). Data validation (writing tests to check for data quality). Data preprocessing. This demo uses Arrikto MiniKF v20210428.0.1 CSV, Parquet, etc.)

ML 98

ML Machine Learning Metadata Data Science 98

The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. ML metadata and artifact repository.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69