Abstract: Large language models (LLMs) have shown promising code generation capabilities; however, they still face challenges in generating successful code for non-trivial programming tasks. To ...
Manually calculating RSI, MACD, Bollinger Bands in spreadsheets Paying for expensive financial API subscriptions No unified view across multiple stock holdings Writing analysis reports from scratch ...
Abstract: Large Language Models(LLMs) often lack domain-specific grounding and may produce generic, hallucinated, or context-insensitive responses, despite their remarkable capability in assisting ...
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