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Content related to AI-Ready Content Accelerator

The Role of Ontologies with LLMs

In today’s world, the capabilities of artificial intelligence (AI) and large language models (LLMs) have generated widespread excitement. Recent advancements have made natural language use cases, like chatbots and semantic search, more feasible for organizations. However, many people don’t understand … Continue reading

QA for Personalized Content

We’ve all sifted through dense technical documentation which has way too much detail about features and products that aren’t even relevant to us – just to get to that one nugget of information we’re actually looking for (often on page … Continue reading

Content Engineering for Personalized Product Release Notes

The Challenge A global software vendor with a vast portfolio of cloud software products needed to deliver more personalized, timely, and relevant release notes of upcoming product changes in a continuous implementation, continuous delivery (CI/CD) environment to both internal and … Continue reading

5 Steps For Building Your Enterprise Semantic Recommendation Engine

In today’s digital landscape, where content overload is a constant challenge, recommendation engines (also known as personalized content recommenders, or just “recommenders”) have emerged as powerful solutions that help users cut through the noise and discover relevant information. These intelligent … Continue reading

How a Knowledge Graph Supports AI: Technical Considerations

In 2023, ChatGPT’s explosive popularity made Artificial Intelligence (AI) language models a household name. In essence, these models are a key component of natural language processing (NLP), a field of AI, focused on enabling computers to understand and generate human … Continue reading