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World Congress 2024 β€’ Aug 22, 2024 β€’ Session details

Give Your LLMs a Left Brain

Stephen Chin

Are hallucinations stalling your production apps? Learn how integrating knowledge graphs builds a deterministic left brain for your LLMs, ensuring secure, traceable, and logical enterprise outputs.

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#1 about 4 min

Challenges of adopting LLMs for enterprise applications

Commercial LLMs trained on broad datasets face significant obstacles when applied to specific enterprise contexts and problems.

#2 about 7 min

Demonstrating LLM hallucinations with math and reasoning

Examples reveal how mixing math, reasoning, and biases causes commercial models to generate illogical or hallucinatory responses.

#3 about 5 min

How LLMs process language using word vectors

Large language models leverage transformers and multi-dimensional word vectors to statistically predict information rather than applying structured logic.

#4 about 5 min

Combining knowledge graphs with LLMs for reliability

Integrating knowledge graphs provides explicit domain understanding and deterministic answers that pure vector databases and language models lack.

#5 about 3 min

Comparing vector search to graph-enhanced retrieval approaches

A side-by-side analysis demonstrates how adding graph context transforms generic responses into actionable and heavily detailed business insights.

#6 about 2 min

Architecting a hybrid vector and knowledge graph system

Routing user queries through both knowledge graphs and vector databases enables context enrichment and continuous algorithmic fine-tuning.

#7 about 3 min

Improving data governance and auditability with graphs

Modeling organizational data as graph nodes ensures strict access controls, response explainability, and full audit traceability for production environments.

#8 about 3 min

Educational resources for building graph-backed AI applications

Developers can leverage specialized courses and tutorials to implement graph retrieval using frameworks like LangChain and Python.

Matching moments

6:03 min

Architecting a semantic long-term memory system for LLMs

Erik Bamberg Β· LIVE

1:35 min

How LLMs imitate human data discovery behavior

Jordan Tigani Jordan Tigani Β· WWC Europe 2026

1:59 min

Building culturally aware LLMs for global audiences

Werner Vogels Werner Vogels +1 Β· WWC Europe 2026

1:44 min

Introduction to generative AI and knowledge graphs

Michael Hunger Michael Hunger Β· WWC 2024

3:26 min

Introducing LLMs as judges for automated testing

Sebastian Messingfeld Sebastian Messingfeld Β· WWC Europe 2026

2:05 min

Enhancing language models with retrieval-augmented generation

Mary Grygleski Mary Grygleski Β· LIVE

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