A user on r/MachineLearning is seeking architectural advice for building a system that automatically generates precise, human-readable commentary on daily trade attribution at scale. The core challenge lies in balancing deterministic mathematical accuracy, which requires tools like Python and Polars, with the dynamic natural language generation capabilities of LLMs. The user is exploring options such as agentic workflows where LLMs write and execute code, or using pre-calculated data with structured prompts, and is asking for recommendations on frameworks and design patterns for financial reporting. AI
影响 Provides insights into integrating LLMs with deterministic code for financial reporting, potentially improving automated analysis tools.
排序理由 User is asking for technical advice on building a specific application, not announcing a new product or research.
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