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A single neuron can recalibrate LLM investment biases, enabling precise control over decision-making without altering the model's architecture or prompts.
Financial advisor personas grounded in fund data can deliver tailored investment insights that far exceed generic recommendations, making manager-specific expertise accessible in LLM systems.
Stop relying on keyword matching: FinTexTS uses semantic similarity and LLM-driven multi-level classification to pair financial text with time-series data, boosting stock price prediction.
