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Morningstar Intelligence Engine with Aravind Kesiraju - Weaviate Podcast #111!

Weaviate Podcast

CHAPTER

Optimizing Language Models for Financial Applications

This chapter explores the integration of large language models (LLMs) like GPT-4 and LLAMA for synthetic question generation in the financial sector. It discusses the fine-tuning processes for tailored content creation, the implementation of preference optimization metrics, and the evolution of the retrieval-augmented generation (RAG) model. Additionally, it highlights the challenges and strategies for managing sensitive financial data and ensuring compliance through effective guardrails in chatbot systems.

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