Looking forward to presenting 8 new robotics research papers w/ students from @AUTOLab_Cal @IEEE International Conf on Robotics and Automation @ieee_ras_icra @ICRA2025 in Atlanta 20-24 May. Links to our papers, videos, and draft workshop papers etc here: https://
bit.ly/AUTOLab-Papers
-ICRA-2025
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MACHINE LEARNING
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AUTOLAB presents 8 robotics research papers at ICRA 2025
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Student testimonials for comprehensive LLM engineering tutorial
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Don’t take my word for it. This is what our past students say: “Great tutorial—builds concepts from the ground up.” — Victor Palomares “Expanded my knowledge of RAG pipelines.” — Eoin McGrath “Amazed at the thoroughness—end-to-end LLM engineering.” — Carlo Casorzo
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Machine Learning Predicts Student Success From Early Educational Software Interactions
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Early indicators of academic success could be valuable for determining effective educational interventions. A recent study harnesses machine learning to predict student performance based on initial interactions with educational software:
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Model trainers as RL agents: unprincipled YOLO runs reconsidered
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i don't think yolo runs are actually really "yolo". model trainers (humans) are agents that are "RL-ed" by the environment of running many experiments and getting a lot feedback through their careers. it's becoming one with the model. it's not unprincipled, we just don't
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Stanford CME 295 Transformers and LLMs Cheatsheets
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Link to the cheatsheets: https://
github.com/afshinea/stanf
ord-cme-295-transformers-large-language-models
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Stanford Releases Free LLM and Transformers Cheatsheets
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Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers! These cheatsheets cover: • Self-attention, Flash Attention, LoRA, SFT
• Mixture of Experts, Distillation, Quantization
• RAG, Agents, LLM-as-a-judge 100% Free and Open Source -
SAS Quantum AI Optimizes P&G Product Tank Assignment
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On main stage at #SASInnovate: SAS works with P&G to solve problems made more challenging with immense scale. With quantum AI, we're able to determine optimal assignment of products to tanks, and ensure certain products are never mixed.
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Debunking the myth of autonomous AI self-improvement
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« L'IA va automatiquement apprendre et s'améliorer. » NON. Je comprends que ça rassure le client de dire ça. Je sais aussi que c’est un argument séduisant qui fait rêver , mais soyons honnêtes deux minutes : l’auto-labellisation n'existe pas. Ça fait presque 10 ans
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Computer Vision for solo developers and shipping AI models
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Computer Vision course is great for solo builders. Helps you get past the theory and actually ship a model.
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Reconnecting on Distributional Reinforcement Learning Research
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Thanks for adding, Marc. I miss our walks along the canal discussing distributional RL