Adaptive AI: Making Edge Inference Smart and Fast by Arvind Sundararajan
dev.to·1h·
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Using Knowledge Elicitation Techniques To Infuse Deep Expertise And Best Practices Into Generative AI
forbes.com·1d
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Nested Learning: The Illusion of Deep Learning Architectures
arxiviq.substack.com·5h·
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Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
paperium.net·6h·
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Evaluating LLMs' Reasoning Over Ordered Procedural Steps
arxiv.org·17h
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Just know stuff (or, how to achieve success in a machine learning PhD) (2023)
kidger.site·2d·
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Andrej Karpathy on LLM cognitive deficits
lesswrong.com·1h
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Fine-tune VLMs for multipage document-to-JSON with SageMaker AI and SWIFT
aws.amazon.com·2h
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Import AI 434: Pragmatic AI personhood; SPACE COMPUTERS; and global government or human extinction;
importai.substack.com·8h·
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Controlled Vocabularies
jessicatalisman.substack.com·17h·
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Enhancing maritime accident causation analysis through a hybrid machine learning approach
sciencedirect.com·5h
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Right-sized AI: Good for business, users, and the planet
web.dev·5h·
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Context rot: the emerging challenge that could hold back LLM progress
understandingai.org·5h
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🚨 Meta just dropped a breakthrough that could change how AI agents learn forever.
threadreaderapp.com·12h
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Show HN: Charl – ML language with native tensors and autograd
charlbase.org·8h·
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Annotation-Efficient Universal Honesty Alignment
paperium.net·13h·
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LLMs Talking in Tongues: A New Era of Semantic AI Collaboration?
dev.to·1d·
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Cracking the Code: Why AI Still Struggles with List Languages by Arvind Sundararajan
dev.to·1d·
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Deep Learning for Molecules and Materials
dmol.pub·12h·
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Gonka.ai – Decentralized Infrastructure for AI
github.com·9h·
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