Webinars
DCL Learning Series
Upcoming Webinars
The DCL Learning Series covers topics that relate to content and data conversion with an instructional twist. DCL speaks with industry experts and brings meaningful presentations and conversation direct to your screen. Topics include research integrity, DITA, S1000D, Section 508 and accessibility, XML standards, PubMed, artificial intelligence, and much more.
Our webinar calendar is constantly updated. Click the link to receive alerts for upcoming webinars.
KEYWORDS:
trustworthy AI, large language model, LLM, context rot, metadata enrichment, entity extraction, structured content, semantic search, artificial intelligence, AI, Data Conversion Laboratory
SPEAKERS:
Rich Dominelli, Systems Architect, Data Conversion Laboratory
David Turner, Consultant - Publishing Automation, Digital Transformation, and Content Technologies, Data Conversion Laboratory
Trustworthy AI: Optimizing Content for Large Language Models
Wed, Dec 17, 2025 12:00 PM - 1:00 PM EST
Trustworthy AI is the strategic target for every organization striving to turn information into intelligence. Achieving this goal starts with well-structured, high-quality content that provides a reliable foundation for reasoning and response.
As large language models (LLMs) continue to evolve, their ability to handle vast amounts of information has expanded dramatically. Early LLM models were limited to 2,048 tokens (approximately 1,500 words). Today’s modern systems boast context windows of up to two million tokens. But…bigger isn’t always better. Research shows that as an LLM’s context window grows, accuracy can decline, sometimes significantly, due to what’s known as context rot.
This DCL Learning Series webinar unpacks how context management impacts LLM performance and explores tactics for preparing content that supports precise, reliable responses in AI-powered systems. DCL’s Systems Architect Rich Dominelli will discuss the importance of chunking content into meaningful, manageable pieces and how metadata enrichment, entity extraction, and structured content principles will help optimize semantic search and retrieval.
Whether you’re developing AI-driven knowledge tools or simply want to make your organization’s content AI ready, this webinar will demonstrate how content structure can focus an AI’s attention, improve response quality, and ensure your most valuable information doesn’t get lost in the noise.