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Jason Xu
Cloudy-Boom
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boyingxu
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Using ML for Data-Driven Attribution
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20 days ago
Discrete Diffusion in Large Language and Multimodal Models: A Survey
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ArturoNereu
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I’ve been learning AI for several years (coming from the games industry), and along the way, I curated a list of the tools, courses, books, papers, and models that actually helped me understand things. I turned this into a GitHub repo: https://github.com/ArturoNereu/AI-Study-Group If you’re just getting started, I recommend: 📘 Deep Learning – A Visual Approach: https://www.glassner.com/portfolio/deep-learning-a-visual-approach 🎥 Dive into LLMs with Andrej Karpathy: https://youtu.be/7xTGNNLPyMI?si=aUTq_qUzyUx36BsT 🧠 The 🤗 Agents course](https://huggingface.co/learn/agents-course/ The repo has grown with help from the community (Reddit, Discord, etc.) and I’ll keep updating it. If you have any favorite resources, I’d love to include them.
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3 months ago
At Arm, we’re trying something a bit different - a new series of live code-alongs and Q&A sessions led by our engineers to support developers building, optimizing, and deploying cloud-native applications. https://www.arm.com/resources/webinar/code-along-arm-cloud-migration There are four live code-alongs, each followed by a “Connect with the Experts” session one week later. The first two sessions focus on using Hugging Face with Arm: • Apr 22: Build a RAG app with vector search and LLMs, optimized for Arm • Apr 30: Run LLaMA with PyTorch on Arm-based infrastructure If you're interested in the topics, you can sign up for one or more sessions. Each session includes time to ask questions directly to the Arm team.
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GSAI-ML/LLaDA-8B-Instruct
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