Experiences with AI-Generated Pornography
link.springer.comยท2hยท
Discuss: Hacker News
๐Ÿค–AI Curation
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Considerate Use of Generative AI in the Workplace
declanbright.comยท6hยท
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๐Ÿค–AI Translation
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We need to give LLMs human-like vision
matml.bearblog.devยท10hยท
๐Ÿ’ปLocal LLMs
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Document-Driven Development in Next.js: How I Stopped Losing My Mind Managing Requirements
danielkliewer.comยท1dยท
๐Ÿฆ‹Format Metamorphosis
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Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
arxiv.orgยท22h
๐Ÿ’ปLocal LLMs
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ParaScopes: What do Language Models Activations Encode About Future Text?
arxiv.orgยท22h
๐Ÿ”—Monadic Parsing
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Predictive Fall Risk Assessment via Wireless Sensor Fusion & Explainable Machine Learning in Geriatric Care
dev.toยท10hยท
Discuss: DEV
๐Ÿ Home Automation
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Building Syllabi โ€“ Agentic AI with Vercel AI SDK, Dynamic Tool Loading, and RAG
dev.toยท2dยท
Discuss: DEV
โšกProof Automation
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Patient-Centered Summarization Framework for AI Clinical Summarization: A Mixed-Methods Design
arxiv.orgยท1d
๐Ÿ”—Concatenative Languages
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Shape-Shifting AI: Making Models That Adapt to Data
dev.toยท2dยท
Discuss: DEV
๐Ÿ“ŠQuantization
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.orgยท22h
โšกIncremental Computation
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Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs
arxiv.orgยท22h
๐Ÿ›Digital humanities
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Reversal Invariance in Autoregressive Language Models
arxiv.orgยท22h
๐Ÿค–Grammar Induction
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DocPrism: Local Categorization and External Filtering to Identify Relevant Code-Documentation Inconsistencies
arxiv.orgยท22h
๐ŸŽฏGradual Typing
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NASA releases robotic / flight app generation tool Ogma under Apache license
github.comยท7hยท
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๐Ÿ”“Open Source Software
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The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses
arxiv.orgยท22h
๐Ÿ”Information Retrieval
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Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
arxiv.orgยท1d
๐Ÿ‘‚Psychoacoustic Coding
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.orgยท22h
๐Ÿ’ปLocal LLMs
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