dan su's picture

1 2 3

dan su

sudanenator

·

AI & ML interests

None yet

Recent Activity

reacted to AdinaY's post with 😎 13 days ago

Exciting releases from the Chinese community this February🔥 👉 https://huggingface.co/collections/zh-ai-community/2025-february-67a35aaa68e97812def5b6ef MLLM: ✨ Ovis2 by Alibaba https://huggingface.co/collections/AIDC-AI/ovis2-67ab36c7e497429034874464 ✨ Step Audio Chat by StepFun AI https://huggingface.co/collections/stepfun-ai/step-audio-67b33accf45735bb21131b0b Audio: ✨ Step Audio TTS by StepFunAI https://huggingface.co/stepfun-ai/Step-Audio-TTS-3B ✨ InspireMusic by Alibaba https://huggingface.co/FunAudioLLM ✨ Baichuan Audio by BaichuanAI https://huggingface.co/baichuan-inc/Baichuan-Audio-Instruct Video: ✨ Wan2.1 by Alibaba_Wan https://huggingface.co/Wan-AI/Wan2.1-T2V-14B ✨ Stepvideo-T2V by StepFun AI https://huggingface.co/stepfun-ai/stepvideo-t2v ✨ SkyReels-V1 by Skywork https://huggingface.co/collections/Skywork/skyreels-v1-67b34676ff65b4ec02d16307 ✨ LLaDA-8B by RenminUniversity https://huggingface.co/GSAI-ML/LLaDA-8B-Instruct MoE: ✨ Moonlight-16B by MoonshotAI (Kimi) https://huggingface.co/moonshotai/Moonlight-16B-A3B-Instruct Reasoning: ✨ TinyR1-32B by Qihoo360 https://huggingface.co/qihoo360/TinyR1-32B-Preview Dataset: ✨ Chinese DeepSeek R1-Distill data -110k https://huggingface.co/datasets/Congliu/Chinese-DeepSeek-R1-Distill-data-110k

reacted to MonsterMMORPG's post with 🔥 13 days ago

Wan 2.1 AI Video Model: Ultimate Step-by-Step Tutorial for Windows & Affordable Private Cloud Setup : https://youtu.be/hnAhveNy-8s https://youtu.be/hnAhveNy-8s Please check all screenshots to see latest news and updates after the tutorial video Alibaba’s new Wan 2.1 text-to-video, video-to-video and image-to-video Open Source AI is unbelievable. In this tutorial I will show how you can install Wan 2.1 all publicly published models into your Windows PC with 1-click installation and use them with the easiest possible way. With the Gradio APP I have developed, you will be able to use Wan AI with as low as 3.5GB VRAM having GPUs. Furthermore, for those who want to utilize powerful private cloud GPUs with cheapest possible prices, I will show how to 1-click and install Wan 2.1 on Massed Compute and on RunPod. Additionally, I will compare performance of RTX 3090 TI with RTX 5090 on all Wan 2.1 models. You will be shocked to see performance of RTX 5090. Also the APP I developed supports all RTX 5000 series on Windows with Python VENV natively. You don't need Linux or WSL. 🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial) ⤵️ ▶️ https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-123105403 🔗 SECourses Official Discord 9500+ Members ⤵️ ▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388 🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️ ▶️ https://github.com/FurkanGozukara/Stable-Diffusion 🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️ ▶️ https://www.reddit.com/r/SECourses/ 🔗 MSI RTX 5090 TRIO FurMark Benchmarking + Overclocking + Noise Testing and Comparing with RTX 3090 TI ⤵️ ▶️ https://youtu.be/uV3oqdILOmA 🔗 RTX 5090 Tested Against FLUX DEV, SD 3.5 Large, SD 3.5 Medium, SDXL, SD 1.5, AMD 9950X + RTX 3090 TI ⤵️ ▶️ https://youtu.be/jHlGzaDLkto

reacted to Kseniase's post with ➕ 20 days ago

8 Free Sources about AI Agents: Agents seem to be everywhere and this collection is for a deep dive into the theory and practice: 1. "Agents" Google's whitepaper by Julia Wiesinger, Patrick Marlow and Vladimir Vuskovic -> https://www.kaggle.com/whitepaper-agents Covers agents, their functions, tool use and how they differ from models 2. "Agents in the Long Game of AI. Computational Cognitive Modeling for Trustworthy, Hybrid AI" book by Marjorie McShane, Sergei Nirenburg, and Jesse English -> https://direct.mit.edu/books/oa-monograph/5833/Agents-in-the-Long-Game-of-AIComputational Explores building AI agents, using Hybrid AI, that combines ML with knowledge-based reasoning 3. "AI Engineer Summit 2025: Agent Engineering" 8-hour video -> https://www.youtube.com/watch?v=D7BzTxVVMuw Experts' talks that share insights on the freshest Agent Engineering advancements, such as Google Deep Research, scaling tips and more 4. AI Agents Course from Hugging Face -> https://huggingface.co/learn/agents-course/en/unit0/introduction Agents' theory and practice to learn how to build them using top libraries and tools 5. "Artificial Intelligence: Foundations of Computational Agents", 3rd Edition, book by David L. Poole and Alan K. Mackworth -> https://artint.info/3e/html/ArtInt3e.html Agents' architectures, how they learn, reason, plan and act with certainty and uncertainty 6. "Intelligent Agents: Theory and Practice" book by Michael Wooldridge -> https://www.cs.ox.ac.uk/people/michael.wooldridge/pubs/ker95/ker95-html.html A fascinating option to dive into how agents were seen in 1995 and explore their theory, architectures and agent languages 7. The Turing Post articles "AI Agents and Agentic Workflows" on Hugging Face -> https://huggingface.co/Kseniase We explore agentic workflows in detail and agents' building blocks, such as memory and knowledge 8. Our collection "8 Free Sources to Master Building AI Agents" -> https://www.turingpost.com/p/building-ai-agents-sources

View all activity

Organizations

sudanenator's activity

No public activity