AWS Machine Learning Blog

FEBRUARY 21, 2025

You then format these pairs as individual text files with corresponding metadata JSON files , upload them to an S3 bucket, and ingest them into your cache knowledge base. Chaithanya Maisagoni is a Senior Software Development Engineer (AI/ML) in Amazons Worldwide Returns and ReCommerce organization.

LLM 111

LLM Large Language Models Natural Language Processing Machine Learning 111

AWS Machine Learning Blog

NOVEMBER 14, 2024

Model governance involves overseeing the development, deployment, and maintenance of ML models to help ensure that they meet business objectives and are accurate, fair, and compliant with regulations. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices.

ML 89

ML Machine Learning Auto-complete Auto-classification 89

AWS Machine Learning Blog

NOVEMBER 7, 2024

The AWS managed offering ( SageMaker Ground Truth Plus ) designs and customizes an end-to-end workflow and provides a skilled AWS managed team that is trained on specific tasks and meets your data quality, security, and compliance requirements. The following example describes usage and cost per model per tenant in Athena.

Generative AI 106

Generative AI Machine Learning AI AI 106

AWS Machine Learning Blog

NOVEMBER 15, 2023

Therefore, when the Principal team started tackling this project, they knew that ensuring the highest standard of data security such as regulatory compliance, data privacy, and data quality would be a non-negotiable, key requirement. He has 20 years of enterprise software development experience.

Data Ingestion 118

Data Ingestion Metadata NLP Data Scientist 118

ODSC - Open Data Science

JULY 26, 2024

In particular, you’ll focus on tabular (or structured) synthetic data and the privacy-preserving benefits of working with synthetic data. You’ll even get hands-on with the open-source tool (DataLLM) and create tabular synthetic data yourselves. Gen AI in Software Development. What should you be looking for?

Data Scientist 52

Data Scientist Robotics Metadata Data Science 52

AWS Machine Learning Blog

FEBRUARY 21, 2023

With this option, you are testing the new model and minimizing the risks of a low-performing model, and you can compare both models’ performance with the same data. SageMaker deployment guardrails Guardrails are an essential part of software development.

ML 81

ML Software Development Automation Metadata 81

The MLOps Blog

APRIL 17, 2023

Building a tool for managing experiments can help your data scientists; 1 Keep track of experiments across different projects, 2 Save experiment-related metadata, 3 Reproduce and compare results over time, 4 Share results with teammates, 5 Or push experiment outputs to downstream systems.

Metadata 52

Metadata Data Scientist Explainability ML 52