Detecting and Preventing LLM Hallucinations
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For many LLM use cases, quality means that you have hallucinations under control. Join this webinar to explore methods for detecting and mitigating hallucinations so that you can confidently go live with LLMs.
Attendees will learn
- How to evaluate LLM outputs
- Hallucination detection strategies
- Confidence scoring
- Consistency checking
- External knowledge verification
- Citation verification
- Adversarial prompt testing
- Hallucination prevention strategies such as
- Firewall guardrails
- Retrieval-augmented generation (RAG)
- Prompt optimization
- Fine Tuning
- Reinforcement Learning
- Citations
About James:
James Massa is a global keynote speaker and serial innovator with 6 patents for LLM, automated testing, MLOps, FinOps and data quality. He is a senior executive at JPMorganChase who won the 2024 FSTech award for leading the Best Financial Services IT Team. James holds master’s degrees in digital design from Harvard University and in finance from Baruch.
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