AWS Machine Learning Blog

JANUARY 5, 2024

The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models. Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step.

Data Science 133

Data Science Data Drift DevOps Auto-complete 133

The MLOps Blog

MARCH 12, 2024

Monitoring Monitor model performance for data drift and model degradation, often using automated monitoring tools. In applications like customer support chatbots, content generation, and complex task performance, prompt engineering techniques ensure LLMs understand the specific task at hand and respond accurately.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 52

Topbots

JUNE 29, 2023

On a more advanced stance, everyone who has done SQL query optimisation will know that many roads lead to the same result, and semantically equivalent queries might have completely different syntax. The manual collection of training data for Text2SQL is particularly tedious.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52