ODSC - Open Data Science

OCTOBER 11, 2023

Machine learning models are only as good as the data they are trained on. Even with the most advanced neural network architectures, if the training data is flawed, the model will suffer. Data issues like label errors, outliers, duplicates, data drift, and low-quality examples significantly hamper model performance.

Auto-classification 52

Auto-classification Auto-complete Data Drift Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Can you see the complete model lineage with data/models/experiments used downstream? Amazon SageMaker Ground Truth SageMaker Ground Truth is a fully managed data labeling service designed to help you efficiently label and annotate your training data with high-quality annotations. Can you render audio/video?

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

The MLOps Blog

MARCH 12, 2024

LLMOps (Large Language Model Operations) focuses on operationalizing the entire lifecycle of large language models (LLMs), from data and prompt management to model training, fine-tuning, evaluation, deployment, monitoring, and maintenance. LLMOps is key to turning LLMs into scalable, production-ready AI tools.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Large Language Models 52