Webinar – PDF ingestion for LLMs: Maximizing Semantic Extraction and Minimizing Hallucinations
Are your LLMs fully understanding the core documents of business and science?
PDFs are the “document of record” globally, offering high-value, long-context data with higher information density than typical HTML. But for AI and ML engineers, the format remains a notorious challenge, often dismissed as “black magic” due to its binary nature, compression, and encryption.
Join the PDF Association for an essential technical webinar using our new FAQ: Artificial Intelligence and PDF as a jumping-off point.
This discussion is intended for AI & ML engineers, AI research scientists, and data scientists to move beyond basic text extraction and master PDF ingestion for maximum model performance.
What you will learn:
- The Semantic Imperative: Tagged PDF: The alternative to error-prone and computationally expensive Document Layout Analysis (DLA) is to leverage Tagged PDF’s unpaginated logical structure as the most efficient and reliable path to understanding document context, tables, and reading order, thereby avoiding “pagination artifacts”.
- Learn why down-converting PDFs to formats like plain text or Markdown is “inevitably lossy” and an unnecessary “dumbing down” process that actively increases the risk of hallucinations.
- Explore why OCR is unnecessary for most “born digital” PDFs, and why it only recovers text content while missing critical semantics.
- Understand the necessity of ingesting *all* PDF components, including annotations (like digital signatures and text markup) and XMP metadata, which are essential for context and trustworthiness.
- Identify mechanisms that allow your systems to honor publisher rights and TDM preferences for AI mining.
Mastering PDF ingestion is the key to training more accurate and grounded models. Equip your engineering teams with the technical knowledge to unlock the vast, high-quality data trapped within the world’s most pervasive document format.
We look forward to a deep, technical discussion.
The panelists will take live questions. The recording will be made available to those who registered.
Panelists
Moderator: Peter Wyatt, PDF Association
Register now!
The webinar will be held on September 9 at 0800 PT / 1100 ET / 1700 CET / 0000 KST.
The registration form includes a way to provide the panel with your question ahead of the webinar.
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