Peter Lorenz @cs_peter_lorenz

Post-Doc @NTUsg Past: @UniHeidelberg @OptML_MSU @MITIBMLab @TUGraz https://t.co/YUwZiCVWhv lorenz-peter.github.io Singapore Joined September 2013

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Peter Lorenz @cs_peter_lorenz

16 hours ago

Negotiating a job offer, and you don't know what the salary was in the past? Then, look up older job posts with web.archive.org

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Exploring agents and LLMs? 🧠 Just came across a GitHub repo that looks like a solid foundation for anyone building in this space: 🔗 lnkd.in/gnYpFTHS Definitely one to bookmark and revisit. Credit to Hesam Sheikh Hassani for surfacing this on X! #LLM #Agents

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Peter Lorenz @cs_peter_lorenz

2 weeks ago

🚀 Linux + Microsoft Edge = Cloud Powerhouse! 🐧💻 Just made a game-changing discovery on my Ubuntu machine: Microsoft Edge is the ultimate gateway to all my Microsoft cloud tools—CoPilot,Teams, Outlook, OneDrive, and more! 🌐✨

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ChengSong Huang @ChengsongH31219

4 weeks ago

🚀🚀Excited to share our paper R-Zero: Self-Evolving Reasoning LLM from Zero Data ! How to train LLM without data? R-Zero teaches Large Language Models to reason starting with nothing but a base model. No data required!!! Paper: arxiv.org/abs/2508.05004 Code:…

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Peter Lorenz @cs_peter_lorenz

3 months ago

After daily using deepseek. I asked deepseek: "Generate an image of what it’s like to chat with me. Be honest and brutal." It is the best self reflection tool!

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Peter Lorenz @cs_peter_lorenz

3 months ago

How would you start if you want to learn LLM training from scratch? Are there any sources that give you a good overview and trade-offs in a short time?

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Alexia Jolicoeur-Martineau @jm_alexia

4 months ago

I tried TRL again... I'm going back to OAT. Every time I try to use TRL, its always a nightmare. OAT is plug and play. github.com/sail-sg/oat

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Peter Lorenz @cs_peter_lorenz

4 months ago

😁😂🤣 #neurips #machinelearning

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Peter Lorenz @cs_peter_lorenz

5 months ago

AI Agents = LLMs + memory + tools + autonomy Next-gen AI won’t just chat-it will do. Key ingredients: • Reasoning (LLMs) • Memory (RAG/vectors) • Action (APIs/tools) • Learning (RL) The future is AI that thinks and acts. #AI #AGI

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Peter Lorenz @cs_peter_lorenz

5 months ago

I am going to ICLR in Singapore in a few weeks. I am happy to connect with new people. Let's meet for a coffee ☕ #ICLR2025 #ICLR #multimodality #computervision #trustworthy #AI

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Peter Lorenz @cs_peter_lorenz

5 months ago

Agentic design patterns (in tech) 😃 What else am I missing here? What about Tiktok?

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Peter Lorenz @cs_peter_lorenz

5 months ago

Never thought I'd be saying this but switching over to uv from pip was worth it :) I never thought that installing packages is so fast! #uv #pip #rust

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Peter Lorenz @cs_peter_lorenz

6 months ago

Just published an article on open-source AI library alternatives! 🚀 As ML gets more data-heavy, new libraries are stepping up to meet the demand. Check it out here: medium.com/p/standard-ai-… #AI #MachineLearning #OpenSource

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Peter Lorenz @cs_peter_lorenz

6 months ago

No GPU? No problem! 🚀 LeetGPU is your online CUDA playground to code, learn, and compete – no powerful GPU needed. Perfect for mastering CUDA, testing ideas, or leveling up your GPU skills! 🖥️💡 Check it out: leetgpu.com #CUDA #Programming #GPU

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Peter Lorenz @cs_peter_lorenz

6 months ago

Your life isn't going to magically get better. Nobody is coming to save you. Only you can do that. It might not happen overnight, or next week, or next month... But stay consistent, work hard, and you'll eventually transform your situation into your ideal one.

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Peter Lorenz @cs_peter_lorenz

6 months ago

Hi, have a nice day and enjoy the sun 😁

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Ziming Liu @lzm_mlsys

7 months ago

🚀Towards efficient Diffusion Transformers! 😆We are happy to introduce RAS, the first diffusion sampling strategy that allows for regional variability in sampling ratios, achieving up to 2x+ speedup! 🔌Training-free, plug and play! 💪Nice work with @MSFTResearch @YangYou1991…

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Peter Lorenz @cs_peter_lorenz

7 months ago

LLM controlled robots through adversarial reasoning arxiv.org/pdf/2502.01633

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Rohan Paul @rohanpaul_ai

9 months ago

The future is so multi-agentic. In this paper, multi-agent system tackles complex data science tasks through collaborative problem-solving. Phase-based workflow with debugging ensures robust data science automation 🎯 Original Problem: Data science tasks with tabular data…