Building Personality-Driven Language Models: How Neurotic Is ChatGPT
暫譯: 建立個性驅動的語言模型：ChatGPT有多神經質
Przystalski, Karol, Argasiński, Jan K., Lipp, Natalia
相關主題
商品描述
This book provides an innovative exploration into the realm of artificial intelligence (AI) by developing personalities for large language models (LLMs) using psychological principles. Aimed at making AI interactions feel more human-like, the book guides you through the process of applying psychological assessments to AIs, enabling them to exhibit traits such as extraversion, openness, and emotional stability. Perfect for developers, researchers, and entrepreneurs, this work merges psychology, philosophy, business, and cutting-edge computing to enhance how AIs understand and engage with humans across various industries like gaming and healthcare. The book not only unpacks the theoretical aspects of these advancements but also equips you with practical coding exercises and Python code examples, helping you create AI systems that are both innovative and relatable. Whether you're looking to deepen your understanding of AI personalities or integrate them into commercial applications, this book offers the tools and insights needed to pioneer this exciting frontier.
商品描述(中文翻譯)
這本書提供了一個創新的探索，進入人工智慧（AI）的領域，透過心理學原則為大型語言模型（LLMs）發展個性。旨在使AI互動更具人性化，這本書指導您如何將心理評估應用於AI，使其展現出外向性、開放性和情緒穩定等特徵。這本書非常適合開發者、研究人員和企業家，將心理學、哲學、商業和尖端計算技術融合在一起，以增強AI在各個行業（如遊戲和醫療保健）中理解和與人類互動的能力。這本書不僅解釋了這些進展的理論方面，還提供了實用的編碼練習和Python代碼範例，幫助您創建既創新又易於理解的AI系統。無論您是希望加深對AI個性的理解，還是將其整合到商業應用中，這本書都提供了開創這一激動人心的前沿所需的工具和見解。
作者簡介
Dr. Karol Przystalski obtained a PhD degree in Computer Science in 2017 at the Jagiellonian University in Cracow, Poland. He used to be the CTO and founder of Codete, an Exadel company. He is working with Fortune 500 companies on data science projects. He has been a lecturer at the Jagiellonian University in Cracow since 2010. His areas of research interest are medical imaging analysis, artificial intelligence, large language models, machine learning security, pattern recognition, and image processing.
Dr. Jan K. Argasiński got his PhD in Studies on Art (New Media/Software Studies) in 2015. Also holds master's degrees in New Media Studies, Philosophy, and completed his studies in Neurobiology at the Jagiellonian University in Krakow. He is an Assistant Professor at the JU's Institute of Applied Computer Science and Senior Researcher at the Sano - Centre for Personalized Computational Medicine. Authored over 30 various scientific publications (incl. co-authoring of 3 books) and gave over 100 scientific and popular science presentations. His areas of expertise are artificial intelligence, affective computing, computational neuroscience and VR/AR. Member of Polish Artificial Intelligence Society (PSSI) since 2019.
Dr. Natalia Lipp is a psychologist with a Ph.D. degree in Social Sciences obtained in 2022 at Jagiellonian University. She is an assistant fellow at the Institute of Applied Psychology at JU and a postdoctoral researcher at Sano - Centre for Personalized Computational Medicine. Her research concerns the psychological factors of human-computer interaction, particularly the role of immersion and imagination in task performance in virtual reality. She is devoted to enhancing user's well-being and increasing trust in AI.
Dawid Pacholczyk, currently advancing in a PhD program, concentrates on implementing simulations and Large Language Models for grooming emerging managers. He holds a master's degree in Software Architecture and has asserted his expertise as an Assistant Professor at the Polish-Japanese Academy of IT. Also is the esteemed author of a pivotal book on product management and has disseminated multiple industry articles, elucidating the applications of Augmented Reality in e-commerce. He had manifested his scholarly insights in various publications within the augmented reality domain. His research primarily navigates through Generative AI, management simulation, future managers training techniques, usage of AI at schools, practical aspects of AR.
作者簡介(中文翻譯)
Dr. Karol Przystalski於2017年在波蘭克拉科夫的雅蓋隆大學獲得計算機科學博士學位。他曾是Codete（Exadel公司的子公司）的首席技術官和創始人。他目前與《財富》500強公司合作進行數據科學項目。自2010年以來，他一直是雅蓋隆大學的講師。他的研究興趣領域包括醫學影像分析、人工智慧、大型語言模型、機器學習安全、模式識別和影像處理。
Dr. Jan K. Argasiński於2015年獲得藝術研究（新媒體/軟體研究）博士學位。他還擁有新媒體研究、哲學的碩士學位，並在雅蓋隆大學完成神經生物學的學習。他是雅蓋隆大學應用計算機科學研究所的助理教授，以及Sano - 個性化計算醫學中心的高級研究員。他撰寫了超過30篇各類科學出版物（包括共同撰寫3本書），並進行了超過100場科學和科普演講。他的專業領域包括人工智慧、情感計算、計算神經科學和虛擬/擴增實境。自2019年以來，他是波蘭人工智慧學會（PSSI）的成員。
Dr. Natalia Lipp是一位心理學家，於2022年在雅蓋隆大學獲得社會科學博士學位。她是雅蓋隆大學應用心理學研究所的助理研究員，並在Sano - 個性化計算醫學中心擔任博士後研究員。她的研究關注人機互動的心理因素，特別是沉浸感和想像力在虛擬現實任務表現中的作用。她致力於提升用戶的福祉並增強對人工智慧的信任。
Dawid Pacholczyk目前正在攻讀博士學位，專注於為新興經理實施模擬和大型語言模型。他擁有軟體架構的碩士學位，並在波蘭-日本資訊科技學院擔任助理教授，展現了他的專業知識。他也是一本關於產品管理的重要書籍的作者，並發表了多篇行業文章，闡明擴增實境在電子商務中的應用。他在擴增實境領域的各種出版物中展現了他的學術見解。他的研究主要涉及生成式人工智慧、管理模擬、未來經理的培訓技術、學校中的人工智慧使用以及擴增實境的實際應用。
