Generative AI LLM Metadata 
NOVEMBER 20, 2024
The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. The relevance of this context directly impacts the model’s ability to generate accurate and contextually appropriate responses.
NOVEMBER 15, 2024
Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. First, we explore the option of in-context learning, where the LLM generates the requested metadata without documentation.
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MARCH 4, 2025
Its a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. It also provides developers with greater control over the LLMs outputs, including the ability to include citations and manage sensitive information. The user_data fields must match the metadata fields.
AWS Machine Learning Blog
OCTOBER 16, 2024
With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. For some content, additional screening is performed to generate subtitles and captions.
JANUARY 24, 2025
A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generative AI application.
MARCH 4, 2025
In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.
NOVEMBER 19, 2024
Organizations of all sizes and types are using generative AI to create products and solutions. In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona.
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