用大模型自动分析金融趋势并生成摘要，省时高效。
Utilizing Modern Large Language Models (LLM) for Financial Trend Analysis and Digest Creation
- 结合数据提取与提示工程，用Gemini Pro自动生成金融摘要。
- 从开放数据源获取信息，10秒内完成报告生成并输出PDF。
- 适合研究人员快速追踪领域动态，提升信息处理效率。
信息爆炸使得研究人员和专业人士难以跟上最新进展。本文提出一种创新框架，利用大型语言模型（如Google Gemini Pro）自动生成有洞察力的金融摘要。通过从OpenAlex提取数据、设计有效提示词，并结合LLM进行分析，实现了对大量非结构化信息的自动化处理。该方法可概括关键发现、识别新兴趋势，克服传统分析手段的局限性，以简洁易读的格式提供可操作的见解。研究详细描述了从数据获取、JSON构建到与Gemini交互及自动创建PDF报告的完整流程，并提供项目GitHub链接以促进开源协作与进一步开发。
原文摘要 · Abstract (English)
The exponential growth of information presents a significant challenge for researchers and professionals seeking to remain at the forefront of their fields and this paper introduces an innovative framework for automatically generating insightful financial digests using the power of Large Language Models (LLMs), specifically Google's Gemini Pro. By leveraging a combination of data extraction from OpenAlex, strategic prompt engineering, and LLM-driven analysis, we demonstrate the automated example of creating a comprehensive digests that generalize key findings, identify emerging trends. This approach addresses the limitations of traditional analysis methods, enabling the efficient processing of vast amounts of unstructured data and the delivery of actionable insights in an easily digestible format. This paper describes how LLMs work in simple words and how we can use their power to help researchers and scholars save their time and stay informed about current trends. Our study includes step-by-step process, from data acquisition and JSON construction to interaction with Gemini and the automated generation of PDF reports, including a link to the project's GitHub repository for broader accessibility and further development.
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