Taming Large Language Models for Real-World Business Impact

Generative AI and Large Language Models (LLMs) promise revolutionary applications, but their “hallucinations”, lack of context, and unexplainability often render them impractical. This session dives into these pain points and unveils a solution: GenAI + Knowledge Graphs.

Key Takeaways

• Why LLMs “out of the box” fail most business needs. We’ll expose the limitations of basic LLMs and showcase real-world examples of their shortcomings.
• Discover how to build breakthrough AI solutions by incorporating rich domain-specific context; leading to enhanced explainability, better reasoning, and a path to continuous improvement.
• Gain insights into patterns, quality, and potential biases within your grounding data.
• Equip yourself with a robust and adaptive toolset to manage and develop high-quality data at scale.

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Bio

Laxman Singh | General Manager, ASEAN | Neo4j | Singapore

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