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Preventing Hallucinations and Jailbreaking in Large Language Models
Future-Proof Your AI: Mitigating Risks and Maximizing Benefits.
Recording available until 12. April 2025
Days
Hours
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Use the Power of LLMs!
Secure your AI projects and don’t let hallucinations and jailbreaks derail them. Join this live event and learn from expert Debjyoti Paul how to harness the power of Large Language Models responsibly.
Use LLMs safely & reliably
Large Language Models (LLMs) such as GPT and their derivatives have become fundamental tools in all industries. However, they often produce “hallucinations” (plausible but incorrect results) and can be “cracked” (manipulated to bypass security filters). This poses significant risks for applications that require reliability and ethical compliance. In this Fullstack Live event, you will learn strategies to overcome these challenges and get the chance to combine your new theoretical knowledge directly with practical exercises.
Join us and learn to...
Understand hallucinations: How and why do they occur? How do they impact critical areas such as healthcare, finance and the legal environment?
Apply mitigation techniques: Use best practices such as prompt engineering, retrieval augmented generation (RAG) and fine-tuning with high-quality data sets to minimize false or unverifiable answers.
Combat jail-breaking: Apply mechanisms to harden LLMs against adversarial prompts using techniques such as adversarial training, reinforcement learning through human feedback (RLHF) and dynamic rule enforcement.
Expert Knowledge for
Developers and Engineers:
- AI/ML engineers integrating LLMs.
- Software developers focusing on AI security and reliability.
Executives and Decision-Makers:
- Product managers and project leads for LLM-based solutions.
- Business leaders implementing AI in critical applications.
Scientists and Students:
- interested in security and ethics of AI
Industry Experts in Sensitive Fields:
- Professionals from industries such as healthcare, finance, law or public administration, where reliability and ethical standards are crucial.
Get to know our expert
Debjyoti Paul is a Machine Learning expert with Amazon. He has worked with the financial decision science division of HSBC and in Machine Learning for Microsoft R&D Bing Ads. He has more than 6 years of experience in Machine Learning and over 3 years of industry experience. Debjyoti is currently working on Knowledge Graph and Visual Question Answering.
Debjyoti Paul – Amazon
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