IBM Journey to AI blog

JULY 9, 2024

Strong data governance is foundational to robust artificial intelligence (AI) governance. Companies developing or deploying responsible AI must start with strong data governance to prepare for current or upcoming regulations and to create AI that is explainable, transparent and fair.

Metadata 146

Metadata Data Quality Responsible AI Artificial Intelligence 146

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

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Data Scientist Metadata Explainability Responsible AI 234

AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. This logic sits in a hybrid search component.

Generative AI 108

Generative AI Machine Learning AI AI 108

The MLOps Blog

JUNE 27, 2023

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?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

JANUARY 28, 2025

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. This allows you to keep track of your ML experiments.

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LLM Large Language Models ML Algorithm 98

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. Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

LLM 113

LLM Large Language Models Natural Language Processing Machine Learning 113

AWS Machine Learning Blog

APRIL 8, 2025

By using synthetic data, enterprises can train AI models, conduct analyses, and develop applications without the risk of exposing sensitive information. Synthetic data effectively bridges the gap between data utility and privacy protection. Incorporate rare events and edge cases at appropriate frequencies.

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