\n
\n「InvestLM」訓練參數逾十億至一百億個不等,全數是公開資料,包括新聞、特許金融分析師(CFA)考試題目、教科書、學術期刊、SEC申報文件,以至論壇討論內容。研究團隊指,通過指令微調技術(Instruction-finetuning),利用精選的廣泛類型財經問答文本,對開源基礎通用大語言模型訓練數月,獲對沖基金經理及財經分析師等金融專家,評為可媲美最先進商用大語言模型,例如GPT-4。
\n
\n研究團隊成員之一、科大商學院資訊、商業統計及營運學系副教授楊毅表示,重視模型的效率、個人化和私隱,模型只供金融機構人員參考,他們可利用公司電腦下載模型軟體作內部使用,提問或解答資料均會保密,若果機構有意訓練模型,必要時會收取商業費用,目前已有2至3間金融機構有興趣使用,目標至年底,每月下載量達10萬,之後計劃開發中文版本。
模型使用界面與ChatGPT相若,最大分別是有上載檔案功能,楊毅舉例指,金融機構能將不同機構針對一間上市公司撰寫的大行報告,上傳到系統中,歸納出多份報告的共識和不同觀點。根據現場示範,系統只花了10秒生成內容,如果要再簡單一些,亦可以單純生成報告中對上市公司訂下的目標價。楊毅即場示範利用新聞文章,生成投資意見,供金融機構向客戶提供意見時作參考。
\n\n科大商學院院長譚嘉因教授表示,目前模型主力發展公用市場,商業部分料不會太進取發展,即使系統開發時未能測試過能否分辨新聞內容的真偽,但科大會有另一個專門團隊跟進。
\n\n科大今年6月起供師生免費使用「科大版ChatGPT」,譚嘉因指,校方對於生成式AI應用已經過長時間討論,在容許使用後,亦在校園內發出指引,和線上培訓材料供教職員參考,例如當課程、考試容許學生使用ChatGPT時,老師有需要按指引,指導學生如何正確運用,早前亦向老師收集意見和使用反應,以便檢討。
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