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21min chapter
Morningstar Intelligence Engine with Aravind Kesiraju - Weaviate Podcast #111!
Weaviate Podcast
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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