NLP in risk management: leveraging large language models
View AgendaKey reasons to attend
- Discover practical applications of natural language processing (NLP) in risk management
- Explore controls and risk mitigation strategies for large language models (LLMs)
- Delve into current and upcoming artificial intelligence (AI) regulations
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About the course
NLP is revolutionising the financial sector, particularly with the emergence of groundbreaking LLMs like ChatGPT and DeepSeek.
This course discusses both traditional NLP methods and the latest language models. Participants will explore how to validate an LLM, select from various providers and libraries and learn techniques for fine-tuning these models to suit their organisation’s specific needs.
Through live demonstrations, attendees will examine successful risk management use cases, including text generation, information retrieval and extraction. Participants will also gain invaluable insights into effectively detecting, preventing and mitigating risks associated with these technologies.
This training also addresses key challenges in NLP implementation, such as ‘hallucinations’, data privacy concerns and legal risks, ensuring a safe and ethical deployment.
No prior technical knowledge is required to attend this course.
Pricing options:
- Early-bird rate: save up to $800 per person by booking in advance
- 3-for-2 rate: save over $2,000 by booking a group of three attendees
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber*
- Season tickets: save up to 60% - request price breakdown
*T&C apply, see registration page.
Learning objectives
- Identify key libraries and providers for LLMs
- Learn how to validate LLMs and identify inaccuracies
- Navigate bias, fairness and explainability in AI
- Examine strategies for customising and improving LLM outputs
- Understand the principles of prompt engineering
Who should attend
Relevant departments may include, but are not limited to:
- Risk management
- Risk technology
- Compliance
- Strategy
- Management
- IT and data
This course is best suited for practitioners seeking insights into the risks and opportunities of NLP technology, with a focus on large language models.
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