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Dec 31, 2024 | 
towardsdatascience.com | Lili Jiang
LLMs requires some subtle, conceptually simple, yet important changes in the way we think about evaluationI’ve been building evaluation for ML systems throughout my career. As head of data science at Quora, we built eval for feed ranking, ads, content moderation, etc. My team at Waymo built eval for self-driving cars. Most recently, at our fintech startup Coverbase, we use LLMs to ease the pain of third-party risk management.
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Oct 19, 2024 | 
mdpi.com | Lili Jiang |Yunfei Wang |Chong Wu |Haibin Wu
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Jul 4, 2024 | 
medium.com | Lili Jiang
Here are 8 learnings I've had in leading software engineering orgs; some are lessons learned the hard way: Under-communication is acute and over-communication is chronic Org entropy The 90/10 house chore rule Delegate areas, not tasks Don't keep super stars "plugging holes" Micro-knowledging, not micro-managing Be an intern Growth spurts lie in painful times On org design:1. Under-communication is acute and over-communication is chronic.
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Jun 27, 2024 | 
mdpi.com | Lili Jiang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Mar 14, 2024 | 
mdpi.com | Qi Dong |Xiaomei Chen |Lili Jiang |Lin Wang
All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
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Feb 16, 2024 | 
peerj.com | Ping Zhou |Yiyun Fu |Yuan Yan Tang |Lili Jiang
Thoracic SMARCA4-deficient tumors: a clinicopathological analysis of 52 cases with SMARCA4-deficient non-small cell lung cancer and 20 cases with thoracic SMARCA4-deficient undifferentiated tumor Department of Pathology, West China Hospital, Sichuan University, Chengdu, Sichuan, China DOI 10.7717/peerj.16923 Academic Editor Xin Zhang Subject Areas Oncology, Pathology, Histology Keywords SWI/SNF, SMARCA4, BRG1, Undifferentiated tumor, NSCLC Copyright © Licence This is an open access article...
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Jun 17, 2023 | 
towardsdatascience.com | Lili Jiang
The backbone of ChatGPT is the GPT model, which is built using the Transformer architecture. The backbone of Transformer is the Attention mechanism. The hardest concept to grok in Attention for many is Key, Value, and Query. In this post, I will use an analogy of potion to internalize these concepts. Even if you already understand the maths of transformer mechanically, I hope by the end of this post, you can develop a more intuitive understanding of the inner workings of GPT from end to end.
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Jun 17, 2023 | 
towardsdatascience.com | Lili Jiang
The backbone of ChatGPT is the GPT model, which is built using the Transformer architecture. The backbone of Transformer is the Attention mechanism. The hardest concept to grok in Attention for many is Key, Value, and Query. In this post, I will use an analogy of potion to internalize these concepts. Even if you already understand the maths of transformer mechanically, I hope by the end of this post, you can develop a more intuitive understanding of the inner workings of GPT from end to end.
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Apr 19, 2023 | 
mdpi.com | Lili Jiang |Hui Cui
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticleby 1,* and 2 1School of Computer and Communication Engineering, Nanjing Tech University Pujiang Institute, Nanjing 210000, China2Faculty of IT, Claytyon Campus, Monash University, Clayton, VIC 3800, Australia*Author to whom correspondence should be addressed.
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Feb 5, 2023 | 
mdpi.com | Ran Song |Xinyu Zhang |Lili Jiang |Zhijun Zhang
Open AccessArticle by Ran Song 1, Xinyu Zhang 1, Lili Jiang 1, Zhijun Zhang 1, Zhigang Qiao 1, Xianglong Hao 1, Juan Su 1,*, Chenxu Lu 2, Guangbing Yang 3, Xuejun Xiong 3, Liyuan Gao 4 and Chi Wu 1,2,4,* 1 Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China 2 Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 519000, China 3 First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China 4 Shandong...
