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Author: JingfengYang

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         Bio
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-        <p> I am a founding member and scientist at Amazon Generative Foundational AI, building LLMs from scratch for Amazon (i.e. <a href="https://www.aboutamazon.com/news/retail/amazon-rufus" style="color:#4133ff;">Rufus</a>). Previously, I worked at Amazon <a href="https://amazonsearchqu.github.io/" style="color:#4133ff;">QU</a> team. I received Computer Science degrees from <a href="https://www.gatech.edu/" style="color:#4133ff;">Georgia Tech</a> and <a href="http://english.pku.edu.cn/" style="color:#4133ff;">Peking University</a>. My advisor was Prof. <a href="https://cs.stanford.edu/~diyiy/" style="color:#4133ff;">Diyi Yang</a>, currently at <a href="https://nlp.stanford.edu/people/" style="color:#4133ff;">Stanford University</a>. I also did research at <a href="https://research.google/" style="color:#4133ff;">Google</a> and <a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/" style="color:#4133ff;">Microsoft</a> previously. </p>
+        <p> I am a founding member and scientist at Amazon Generative Foundational AI, building LLMs from scratch for Amazon (i.e. <a href="https://www.aboutamazon.com/news/retail/amazon-rufus" style="color:#4133ff;">Rufus</a>). Previously, I worked at xAI, contributing to DeepSearch, @Grok and Grok 4. I mainly worked on agents, by initializing agents at Amazon in 2023, and helping make agents work in Grok 4. I received Computer Science degrees from <a href="https://www.gatech.edu/" style="color:#4133ff;">Georgia Tech</a> and <a href="http://english.pku.edu.cn/" style="color:#4133ff;">Peking University</a>. My advisor was Prof. <a href="https://cs.stanford.edu/~diyiy/" style="color:#4133ff;">Diyi Yang</a>, currently at <a href="https://nlp.stanford.edu/people/" style="color:#4133ff;">Stanford University</a>. I also did research at <a href="https://research.google/" style="color:#4133ff;">Google</a> and <a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/" style="color:#4133ff;">Microsoft</a> previously. </p>
 
         <p> Nowadays, I'm mainly working on LLMs <a href="https://jingfengyang.github.io/gpt" style="color:#4133ff;">[Blog: Reproduction and Usage of GPT3/ChatGPT]</a>, including 1) pretraining (data, infrastructure, scaling laws) 2) post-training (instruction tuning, human and AI preference learning) 3) evaluation 4) language agents (tool using, planning and reasoning, long-context handling) 5) alignment and AI safety <a href="https://jingfengyang.github.io/safety" style="color:#4133ff;">[Blog: AI Safety: Why, What, and How]</a>.</p>
 

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         <h2 class="post-title">
         Bio
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-        <p> I am a founding member and scientist at Amazon Generative Foundational AI, building LLMs from scratch for Amazon (i.e. <a href="https://www.aboutamazon.com/news/retail/amazon-rufus" style="color:#4133ff;">Rufus</a>). Previously, I worked at Amazon <a href="https://amazonsearchqu.github.io/" style="color:#4133ff;">QU</a> team. I received Computer Science degrees from <a href="https://www.gatech.edu/" style="color:#4133ff;">Georgia Tech</a> and <a href="http://english.pku.edu.cn/" style="color:#4133ff;">Peking University</a>. My advisor was Prof. <a href="https://cs.stanford.edu/~diyiy/" style="color:#4133ff;">Diyi Yang</a>, currently at <a href="https://nlp.stanford.edu/people/" style="color:#4133ff;">Stanford University</a>. I also did research at <a href="https://research.google/" style="color:#4133ff;">Google</a> and <a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/" style="color:#4133ff;">Microsoft</a> previously. </p>
+        <p> I am a founding member and scientist at Amazon Generative Foundational AI, building LLMs from scratch for Amazon (i.e. <a href="https://www.aboutamazon.com/news/retail/amazon-rufus" style="color:#4133ff;">Rufus</a>). Previously, I worked at xAI, contributing to DeepSearch, @Grok and Grok 4. I mainly worked on agents, by initializing agents at Amazon in 2023, and helping make agents work in Grok 4. I received Computer Science degrees from <a href="https://www.gatech.edu/" style="color:#4133ff;">Georgia Tech</a> and <a href="http://english.pku.edu.cn/" style="color:#4133ff;">Peking University</a>. My advisor was Prof. <a href="https://cs.stanford.edu/~diyiy/" style="color:#4133ff;">Diyi Yang</a>, currently at <a href="https://nlp.stanford.edu/people/" style="color:#4133ff;">Stanford University</a>. I also did research at <a href="https://research.google/" style="color:#4133ff;">Google</a> and <a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/" style="color:#4133ff;">Microsoft</a> previously. </p>
 
         <p> Nowadays, I'm mainly working on LLMs <a href="https://jingfengyang.github.io/gpt" style="color:#4133ff;">[Blog: Reproduction and Usage of GPT3/ChatGPT]</a>, including 1) pretraining (data, infrastructure, scaling laws) 2) post-training (instruction tuning, human and AI preference learning) 3) evaluation 4) language agents (tool using, planning and reasoning, long-context handling) 5) alignment and AI safety <a href="https://jingfengyang.github.io/safety" style="color:#4133ff;">[Blog: AI Safety: Why, What, and How]</a>.</p>