In the generative AI landscape, large language models (LLMs) stand out as game-changers. They redefine not only how we interact with computers via natural language but also how we identify and extract insights from vast, complex datasets.

With NVIDIA NeMo™, financial institutions can build, customize, and deploy generative AI models anywhere. This webinar delves into the nuances of building LLMs, with a focus on how they can be used in quantitative finance.

• The key components of the LLM-building pipeline, from data acquisition to model deployment

• How to leverage the NeMo framework to accelerate the most compute-intensive tasks of the pipeline

• How to keep LLMs aligned and up to date with retrieval-augmented generation (RAG)

• The benefits of NeMo Guardrails for building safe and secure applications

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