From Lehman Brothers to US Debt Ceiling: Leveraging AI and Fine-Tuned LLMs for Risk Management 

We explore how Fine-Tuning Large Language Models (LLMs) can revolutionize risk management in the Capital Markets industry, particularly during crisis events like the Lehman Brothers default, Euro Sovereign Debt Crisis, Brexit, and US Debt Ceiling debates. Discover how Fine-Tuning LLMs to access Risk System APIs can generate custom risk reports in real-time using natural language queries.
Learn how this innovative approach can help risk managers navigate tail events by automating risk data retrieval, exploring what-if scenarios, and providing scalable risk reporting solutions. We also delve into a proof of concept using CodeLlama and Manim, demonstrating how Fine-Tuning can be applied to generate complex visuals and animations.
Stay tuned for a deep dive into building Fine-Tuning datasets and testing and validating Fine-Tuned LLMs for risk management. We'll also introduce you to LoRA (Low-Rank Adaptation), a powerful method for adapting pre-trained language models that can dramatically speed up traditional Fine-Tuning approaches.
Don't miss out on this opportunity to learn how AI is transforming the Capital Markets industry and how you can leverage Fine-Tuned LLMs to enhance risk management in your organization.
Keywords: Fine-Tuning LLMs, Risk Management, Crisis Events, API, Custom Risk Reports, Manim, CodeLlama, Capital Markets, LoRA, AI
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