<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Shaojie Jiang — Blog</title><description>Thoughts on AI, career development, and life by Shaojie Jiang.</description><link>https://shaojiejiang.github.io/</link><item><title>What Can Humans Learn FROM AI Models?</title><link>https://shaojiejiang.github.io/blog/lessons-from-llm/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/lessons-from-llm/</guid><description>Exploring what humans can learn from AI models like ChatGPT, examining both technical and philosophical implications of human-AI interaction.</description><pubDate>Sat, 27 Jan 2024 00:00:00 GMT</pubDate><category>Philosophy of AI</category><category>Critical Thinking</category><category>Existential Inquiry</category></item><item><title>Fun Fact: One Good Job Offer Is All You Need</title><link>https://shaojiejiang.github.io/blog/job-hunting-advice-2/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/job-hunting-advice-2/</guid><description>Job seekers should focus on securing a single quality offer rather than pursuing multiple positions simultaneously.</description><pubDate>Sat, 25 Nov 2023 00:00:00 GMT</pubDate><category>Job Hunting</category><category>Career Advice</category><category>Personal Development</category></item><item><title>Navigating The Job Hunting Maze</title><link>https://shaojiejiang.github.io/blog/job-hunting-advice/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/job-hunting-advice/</guid><description>Some advice on LLM job hunt in 2023, covering preparation, strategy, and understanding the nuances of the job market.</description><pubDate>Sun, 12 Nov 2023 00:00:00 GMT</pubDate><category>Job Hunting</category><category>LLM Careers</category><category>Career Advice</category><category>Personal Development</category></item><item><title>Notes for Creativity Training</title><link>https://shaojiejiang.github.io/blog/creativity-training/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/creativity-training/</guid><description>Ideas on how to redirect technology and gaming addiction toward productive outcomes, from AI-powered education to elderly companion bots.</description><pubDate>Sat, 23 Sep 2023 00:00:00 GMT</pubDate><category>Creativity</category><category>AI</category><category>Ideas</category></item><item><title>Job Invitations From Adult Industry Are Welcome, but Not in the Way You Are Thinking Of</title><link>https://shaojiejiang.github.io/blog/responsible-aigac/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/responsible-aigac/</guid><description>It is all about responsibility — reflecting on AI ethics, the adult industry, and what it means to be a responsible technologist.</description><pubDate>Wed, 20 Sep 2023 00:00:00 GMT</pubDate><category>Responsible AI</category><category>Personal Opinions</category></item><item><title>Break Time Banned in Chinese Schools. What Now?</title><link>https://shaojiejiang.github.io/blog/school-problems-china/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/school-problems-china/</guid><description>Discovering that schools in China have banned unsupervised break times, restricting students to classrooms — and why this matters.</description><pubDate>Mon, 11 Sep 2023 00:00:00 GMT</pubDate><category>Education</category><category>Current Affairs</category><category>Personal Opinions</category></item><item><title>Has the AI-Era Come to Video Games Already?</title><link>https://shaojiejiang.github.io/blog/ai-gaming-era/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/ai-gaming-era/</guid><description>Exploring how large language models and AI technologies are transforming video game development and player experiences.</description><pubDate>Sun, 13 Aug 2023 00:00:00 GMT</pubDate><category>Deep Learning</category><category>NLP</category><category>LLM</category><category>Video Games</category></item><item><title>One Source of LLM Hallucination Is Exposure Bias</title><link>https://shaojiejiang.github.io/blog/llm-hallucination/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/llm-hallucination/</guid><description>Discussing how LLM hallucinations stem from exposure bias — both memorized knowledge and corpus-based heuristics from training data.</description><pubDate>Wed, 09 Aug 2023 00:00:00 GMT</pubDate><category>Deep Learning</category><category>NLP</category><category>LLM</category><category>Hallucination</category><category>Information Retrieval</category></item><item><title>Transformer Align Model</title><link>https://shaojiejiang.github.io/blog/transformer-align-model/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/transformer-align-model/</guid><description>Notes on training transformers to perform both translation and alignment tasks simultaneously.</description><pubDate>Sat, 16 May 2020 00:00:00 GMT</pubDate><category>Deep Learning</category><category>NLP</category></item><item><title>Compressive Transformers</title><link>https://shaojiejiang.github.io/blog/compressive-transformers/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/compressive-transformers/</guid><description>Notes on Compressive Transformers — a model that condenses old memories and stores them in compressed memory buffers for long-range sequence learning.</description><pubDate>Tue, 12 May 2020 00:00:00 GMT</pubDate><category>Deep Learning</category><category>NLP</category></item><item><title>Visualizing the Loss Landscape of Neural Nets</title><link>https://shaojiejiang.github.io/blog/visualizing-loss/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/visualizing-loss/</guid><description>Notes from the NeurIPS 2018 paper on why certain models train more easily and generalize better, through loss landscape visualization.</description><pubDate>Wed, 06 May 2020 00:00:00 GMT</pubDate><category>Deep Learning</category></item><item><title>Adaptive Computation Time</title><link>https://shaojiejiang.github.io/blog/adaptive-computation-time/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/adaptive-computation-time/</guid><description>Notes on Adaptive Computation Time for Recurrent Neural Networks — comparing additive vs multiplicative halting probability approaches.</description><pubDate>Tue, 28 Apr 2020 00:00:00 GMT</pubDate><category>Deep Learning</category></item><item><title>A Hub for Transformer Blogs and Papers</title><link>https://shaojiejiang.github.io/blog/transformer-blog-paper-hub/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/transformer-blog-paper-hub/</guid><description>A curated collection of resources about transformer models, including illustrated guides, GNN connections, and architectural improvements.</description><pubDate>Mon, 02 Mar 2020 00:00:00 GMT</pubDate><category>Deep Learning</category></item><item><title>What&apos;s New in XLNet?</title><link>https://shaojiejiang.github.io/blog/xlnet/</link><guid isPermaLink="true">https://shaojiejiang.github.io/blog/xlnet/</guid><description>Examining how XLNet improved upon BERT&apos;s architecture with Two-Stream Self-Attention and bidirectional data input.</description><pubDate>Thu, 20 Jun 2019 00:00:00 GMT</pubDate><category>NLP</category><category>Deep Learning</category><category>BERT</category><category>Transformer</category><category>XLNet</category></item></channel></rss>