Wang @wangzh_run

Burnaby, British Columbia Joined April 2021

Tweets

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56
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Wang @wangzh_run

2 months ago

AnythingLLM + NVIDIA = Local AI Agents youtube.com/shorts/b6NhntU… via @YouTube

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Towards Data Science @TDataScience

2 months ago

Explore the future of @PyTorch model visualization with Sachin Hosmani's latest article introducing Torchvista, an open-source package that transforms static graphs into interactive visualizations directly in your notebooks. towardsdatascience.com/torchvista-bui…

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Andrej Karpathy @karpathy

2 months ago

Love this! Supercharger, diner, … but really a kind of exhibit for the future. Plotting a road trip SF -> LA to charge Shadowfax

Tesla @Tesla

2 months ago

Love this! Supercharger, diner, … but really a kind of exhibit for the future. Plotting a road trip SF -> LA to charge Shadowfax

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Wang @wangzh_run

2 months ago

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Wang @wangzh_run

2 months ago

youtube.com/post/UgkxfUFs_… via @YouTube

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Towards Data Science @TDataScience

2 months ago

LLMs are powerful, but how do you make them reliable in production? @EivindKjos's newest article dives into essential strategies: markup tags for consistency, output validation, and robust error handling with retries and backup LLMs. towardsdatascience.com/how-to-ensure-…

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Andrej Karpathy @karpathy

2 months ago

Scaling up RL is all the rage right now, I had a chat with a friend about it yesterday. I'm fairly certain RL will continue to yield more intermediate gains, but I also don't expect it to be the full story. RL is basically "hey this happened to go well (/poorly), let me slightly…

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Alexandr Wang @alexandr_wang

2 months ago

I’m excited to be the Chief AI Officer of @Meta, working alongside @natfriedman, and thrilled to be accompanied by an incredible group of people joining on the same day. Towards superintelligence 🚀

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Dan @KettlebellDan

2 months ago

asked Grok 4 it's favorite math formula: e^jπ + 1 = 0 got A's in 5 semesters of calculus and never intuitively understood Euler's equation Grok instantly built an app to visualize it education has changed the only thing stopping you from learning is lack of curiosity

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Dear Son. @DearS_o_n

2 months ago

Dear son,

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Wang @wangzh_run

2 months ago

x.com/karpathy/statu… x.com/karpathy/statu…

Andrej Karpathy @karpathy

2 months ago

x.com/karpathy/statu… x.com/karpathy/statu…

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Towards Data Science @TDataScience

2 months ago

Discover why AI systems may actually be more transparent than human decision-making processes. Piotr Mardziel's article challenges conventional wisdom by arguing that despite their complexity, modern AI models offer more visibility into their reasoning than the ultimate black…

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Towards Data Science @TDataScience

2 months ago

Agentic AI is more than building agents, it’s about building systems. In this practical, code-forward article, Gustavo Santos shows you how to create a multi-agent team that automates social media content generation. towardsdatascience.com/agentic-ai-103…

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Towards Data Science @TDataScience

2 months ago

Been meaning to train a chatbot on your own custom data? Now’s the perfect moment. Haden Pelletier's latest article walks you through building a Retrieval-Augmented Generation (RAG) system using @llama_index and @OpenAI. towardsdatascience.com/how-to-train-a…

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Gartner @Gartner_inc

3 months ago

Employees face 5X more change at work today than they did 8 years ago. Download this Gartner eBook to discover strategies to build readiness for change and mitigate change fatigue: gtnr.it/3T2UBJz #GartnerHR #CHRO #HumanResources #ChangeManagement

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Towards Data Science @TDataScience

3 months ago

Muhammad Ardi demonstrates how combining LSTM with BERT creates a superior detection pipeline that captures the subtle linguistic patterns hackers use to disguise malicious URLs. towardsdatascience.com/vision-transfo…

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Wang @wangzh_run

3 months ago

Andrej Karpathy: Software Is Changing (Again) youtu.be/LCEmiRjPEtQ?si… via @YouTube

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Book Therapy @Book_therapy223

3 months ago

Strategic thinking

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Growth Labs @growthhub_

3 months ago

Bookmark this for later.

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Andrej Karpathy @karpathy

3 months ago

So so so cool. Llama 1B batch one inference in one single CUDA kernel, deleting synchronization boundaries imposed by breaking the computation into a series of kernels called in sequence. The *optimal* orchestration of compute and memory is only achievable in this way.