Making Large Language Models Reliable for the Real World
AI adoption is accelerating, but in regulated industries, the roadblock isn't the model, it's the data. Most organizations still rely on messy, unstructured documents, PDFs, CAD drawings, handwritten notes, that models can't interpret with accuracy or compliance confidence.
Join Adlib, the document automation partner trusted by Fortune 500 enterprises, to learn how Retrieval-Augmented Generation (RAG) can be made reliable at scale. We'll share real-world lessons from pharma, energy, and manufacturing leaders—and demonstrate how to turn your most complex, high-stakes documents into AI-ready, RAG-validated data streams.
What You'll Learn:
- Why 80% of enterprise data is unusable for AI today—and how this "last mile" problem derails AI projects before they start.
- How chunking, multi-layer OCR, and validation reduce hallucinations, cut token usage, and boost RAG accuracy.
Don't miss this live event on Tuesday, October 7, 11 AM PT / 2 PM ET.
Register Now to attend the webinar Improve LLM Accuracy with RAG. |
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| SPEAKER |
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Jason Jakob
Chief Architect Officer
Adlib |
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| MODERATOR |
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Marydee Ojala
Editor-in-Chief
KMWorld magazine |
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