Remove Data Quality Remove Metadata Remove Software Engineer
article thumbnail

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning Blog

Furthermore, evaluation processes are important not only for LLMs, but are becoming essential for assessing prompt template quality, input data quality, and ultimately, the entire application stack. He holds a PhD in Telecommunications Engineering and has experience in software engineering.

LLM 95
article thumbnail

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. Runs are executions of some piece of data science code and record metadata and generated artifacts.

ML 89
article thumbnail

Data Version Control for Data Lakes: Handling the Changes in Large Scale

ODSC - Open Data Science

Relational Databases Some key characteristics of relational databases are as follows: Data Structure: Relational databases store structured data in rows and columns, where data types and relationships are defined by a schema before data is inserted.

article thumbnail

11 Trending LLM Topics Coming to ODSC West 2024

ODSC - Open Data Science

This talk will cover the critical challenges faced and steps needed when transitioning from a demo to a production-quality RAG system for professional users of academic data, such as researchers, students, librarians, research officers, and others.

LLM 52
article thumbnail

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

Data Management – Efficient data management is crucial for AI/ML platforms. Regulations in the healthcare industry call for especially rigorous data governance. It should include features like data versioning, data lineage, data governance, and data quality assurance to ensure accurate and reliable results.

article thumbnail

Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. He also ran the data platform in his previous company and is also co-creator of open-source framework, Hamilton. Depending on your size, you might have a data catalog. Right now, Hamilton is very lightweight.

ML 52