Empowering Cross-lingual Behavioral Testing of NLP Models with Typological Features paper page: https://
huggingface.co/papers/2307.05
454
… A challenge towards developing NLP systems for the world's languages is understanding how they generalize to typological differences relevant for real-world
MACHINE LEARNING
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Cross-lingual NLP Testing Using Typological Features
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Cognitive Synergy in LLMs: Multi-Persona Self-Collaboration Agent
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Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration paper page: https://
huggingface.co/papers/2307.05
300
… Human intelligence thrives on the concept of cognitive synergy, where collaboration and information integration among -
XGBoost: The Ultimate Classifier with Matt Harrison
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Super Data Science: 681: XGBoost: The Ultimate Classifier, with Matt Harrison on Apple Podcasts https://
apple.co/3XjAisz #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Secrets of RLHF in Large Language Models Part I: PPO
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Secrets of RLHF in Large Language Models Part I: PPO paper page: https://
huggingface.co/papers/2307.04
964
… Large language models (LLMs) have formulated a blueprint for the advancement of artificial general intelligence. Its primary objective is to function as a human-centric (helpful, honest, -
One-2-3-45: Convert Any Single Image to 3D Mesh in 45 Seconds
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One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization @Gradio demo is out
— AK (@_akhaliq) 11 juillet 2023
demo: https://t.co/IlfEzhOYPVpic.twitter.com/KgbbfnwRi1One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization @Gradio demo is out demo: https://
huggingface.co/spaces/One-2-3
-45/One-2-3-45
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Objaverse-XL: Massive 10M+ 3D Objects Dataset Released
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Objaverse-XL: A Universe of 10M+ 3D Objects
— AK (@_akhaliq) 11 juillet 2023
paper: https://t.co/Q1iVTAg29Q
Natural language processing and 2D vision models have attained remarkable proficiency on many tasks primarily by escalating the scale of training data. However, 3D vision tasks have not seen the same… pic.twitter.com/ptBAwG9bNFObjaverse-XL: A Universe of 10M+ 3D Objects paper: https://
objaverse.allenai.org/objaverse-xl-p
aper.pdf
… Natural language processing and 2D vision models have attained remarkable proficiency on many tasks primarily by escalating the scale of training data. However, 3D vision tasks have not seen the same -
Specialized AI Models Outperform Giants in Business Applications
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#VBTransform attendees — head now to Salon 10 to discover how smaller, specialized AI models outperform off-the-shelf giants, driving business impact. Learn from real-world examples across sectors. Don't miss out! https://
domino.buzz/3PSdRJt #AI #DataScience -
Azure HPC Enables AI Breakthroughs Across Industries
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Explore breakthroughs made possible with AI on Azure HPC infrastructure Whether it’s with powerful remote workstations, clusters with near-infinite scale, big data analytics, or machine learning, industries are achieving more with Azure HPC. https://
bit.ly/43dKaFI -
R, Python, Julia: The Current State of Statistical Computing
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It's once again back to how it started: being a useful toolkit for statistics (a lot of the more hardcode stats and research stuff is only available in R). But yeah, not really used anymore for computing: here machine learning people use Python and statisticians use Julia.
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Elements of Statistical Learning: A Highly Referenced Classic Book
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Elements of Statistical Learning is a classic. I even have two hard copies (one for my office and one at home) because I referenced it so often.