AWS Machine Learning Blog

MARCH 21, 2025

This enables the efficient processing of content, including scientific formulas and data visualizations, and the population of Amazon Bedrock Knowledge Bases with appropriate metadata. Generate metadata for the page. Generate metadata for the full document. Upload the content and metadata to Amazon S3.

Metadata 109

Metadata Convolutional Neural Networks Generative AI Data Scientist 109

Unite.AI

NOVEMBER 20, 2024

This is where AgentOps comes in; a concept modeled after DevOps and MLOps but tailored for managing the lifecycle of FM-based agents. Artifacts: Track intermediate outputs, memory states, and prompt templates to aid debugging. Prompt Management Prompt engineering plays an important role in forming agent behavior.

LLM 176

LLM AI AI DevOps 176

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Strong domain knowledge for tuning, including prompt engineering, is required as well. Consumers – Users who interact with generative AI services from providers or fine-tuners by text prompting or a visual interface to complete desired actions. Only prompt engineering is necessary for better results.

Generative AI 120

Generative AI Prompt Engineer Prompt Engineering ML 120

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

The MLOps Blog

AUGUST 3, 2023

We have someone from Adobe using it to help manage some prompt engineering work that they’re doing, for example. We have someone precisely using it more for feature engineering, but using it within a Flask app. For example, you can stick in the model, but you can also stick a lot of metadata and extra information about it.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

After the selection of the model(s), prompt engineers are responsible for preparing the necessary input data and expected output for evaluation (e.g. input prompts comprising input data and query) and define metrics like similarity and toxicity. The following diagram illustrates this architecture.

LLM 99

LLM Data Scientist Algorithm Generative AI 99