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The 3 limitations of LLMs you can’t ignore

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The 3 limitations of LLMs you can't ignore

Ready to build with Large Language Models? Before you deploy, it’s critical to understand the limitations of LLMs that can impact your enterprise applications. While powerful, LLMs have inherent blind spots that can lead to unreliable or inaccurate results.

In this video, Roberto Carratala, Principal AI Platform Architect at Red Hat, breaks down the three fundamental challenges you’ll face when working with LLMs. Discover why issues like static knowledge, hallucinations, and limited reasoning prevent them from being standalone solutions and learn why pairing them with external tools and orchestration layers is essential for building dependable, enterprise-grade AI.

Learn more about building reliable enterprise AI:

🧠 Explore Red Hat OpenShift AI → https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai

#GenerativeAI #EnterpriseAI

Date: August 4, 2025