Adaptive Financial Sentiment Analysis for NIFTY 50 via Instruction-Tuned LLMs, RAG and Reinforcement Learning Approaches

This article describes a research paper exploring the use of Large Language Models (LLMs) for financial sentiment analysis, specifically focusing on the NIFTY 50 index. It mentions the use of instruction-tuned LLMs, Retrieval-Augmented Generation (RAG), and Reinforcement Learning (RL) techniques. The focus is on adapting these methods for financial applications.