knowledge storage card

What is knowledge card?

To this end, we propose Knowledge Card, a modular framework to plug in new factual and relevant knowledge into general-purpose LLMs. We first introduce knowledge cards -- specialized language models trained on corpora from specific domains and sources.

What is a knowledge store?

Unlike a search index that can only be accessed through queries in Azure AI Search, a knowledge store is accessible to any tool, app, or process that supports connections to Azure Storage. This flexibility opens up new scenarios for consuming the analyzed and enriched content produced by an enrichment pipeline.

What is knowledge storage?

At its core, knowledge storage refers to the methods and systems used to retain information within an organization. This involves not just the physical or digital repositories where data is kept, but also the processes and structures that ensure information is accessible and usable. Knowledge storage is about more than just keeping data safe.

How do Knowledge Cards work?

Knowledge cards serve as parametric repositories that are selected at inference time to generate background knowledge for the base LLM. We then propose three content selectors to dynamically select and retain information in documents generated by knowledge cards, specifically controlling for relevance, brevity, and factuality of outputs.

What are the benefits of a knowledge store?

The primary benefits of a knowledge store are two-fold: flexible access to content, and the ability to shape data. Unlike a search index that can only be accessed through queries in Azure AI Search, a knowledge store is accessible to any tool, app, or process that supports connections to Azure Storage.

What are the different types of knowledge storage?

Knowledge storage can take many forms, each serving different purposes within an organization. Understanding these forms helps in choosing the right method for storing and accessing information efficiently. Physical storage involves traditional methods like filing cabinets and printed documents.

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Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in

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GitHub

The pool of knowledge cards to leverage is specified in config.py: knowledge_card_paths specify a list of strings where each string represents a model checkpoint on HuggingFace (or local).

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