주목할 발표 · Jacky Chan
세션 소개
幾個月前，我問咗自己一個問題：如果我哋唔再叫 AI 模型「描述」音頻，而係問佢「聯想到啲乜嘢」，會發生咩事？
於是，我開始咗一個 Side Project，嘗試用 Raw Audio 直接 Probing 多模態 LLM（Multimodal LLM）。透過 Repeated Prompting 同 Position-Weighted Aggregation，去觀察模型會產生咩層次嘅聯想。
喺實驗過程中，我發現唔同模型對同一段聲音嘅反應有好大差異。呢個研究方法，其實好有潛力發展成一種全新嘅 Model Evaluation（模型評估）工具。
而家，我希望將呢個研究方向推向開源。未來幾個月我會推出一個開放嘅「聯想收集庫」，等大家可以上傳聲音、分享自己嘅聯想，從而對比人類同 AI 嘅思維分別，一齊建立一個好玩嘅開放數據集。
呢個 Talk 會分享我嘅實驗過程、主要發現，同埋對未來開源計劃嘅諗法。希望有興趣嘅朋友可以一齊嚟討論同貢獻！
발표자 소개
Jacky Chan
I am Jacky Chan, an researcher in Hong Kong who enjoys building and experimenting with local AI systems. I have been a regular participant in Hong Kong’s open source and PyCon community events.
My current work focuses on probing multimodal models to understand the associations they form with sound. I am also planning to open source parts of this work in the near future, with the goal of creating a community-driven audio association collection platform.
This is my first time proposing a talk at PyCon HK.