Moderating with Humans, for Humans
aaron.leaflet.pub·1h·
Discuss: Hacker News
🤖AI
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Every single time an LLM hallucinates, I am grateful:
bsky.app·2d·
Discuss: Bluesky
🧠Deep Learning
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Xqerl – Erlang XQuery 3.1 Processor
zadean.github.io·7h·
Discuss: Hacker News
🤖AI
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How to Easily Fine-Tune the Donut Model for Receipt Information Extraction
pub.towardsai.net·21h
🧠Deep Learning
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Epstein-Docs.github.io
github.com·4h·
Discuss: Hacker News
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Model Context Protocol (MCP Servers): The Infrastructure Layer That Makes AI Agentic
pub.towardsai.net·3d
🤖AI
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Artificial intelligence and the Gulf Cooperation Council workforce adapting to the future of work
arxiv.org·12h
🤖AI
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Revolutionize LLM Apps with API Monetization Strategies from Monetzly
dev.to·2h·
Discuss: DEV
🤖AI
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DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets
arxiv.org·12h
🧠Deep Learning
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Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
arxiv.org·12h
🤖AI
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A Practical Guide to AI Voice Agent Observability: Debugging Latency with VideoSDK Traces
dev.to·1d·
Discuss: DEV
🤖AI
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LLMGoat - Vulnerable environment to learn OWASP Top 10 for LLM apps
github.com·1d·
Discuss: r/selfhosted
🤖AI
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Emergent Misalignment via In-Context Learning: Narrow in-context examples canproduce broadly misaligned LLMs
dev.to·2d·
Discuss: DEV
🧠Deep Learning
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Bio-Techne Corporation (TECH) Presents at Stifel 2025 Healthcare Conference Transcript
seekingalpha.com·1h
🤖AI
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TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation
arxiv.org·12h
🧠Deep Learning
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What's the lowest GPT2 pre-training loss achievable with a 50k vocab on a shoestring budget, say USD250?
reddit.com·2d·
Discuss: r/LocalLLaMA
🧠Deep Learning
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I built a CLI tool to stop copy-pasting the same prompts to LLMs
reddit.com·9h·
Discuss: r/commandline
🤖AI
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Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
arxiv.org·12h
🧠Deep Learning
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Federated Learning in 2025: What You Need to Know
dev.to·3d·
Discuss: DEV
🧠Deep Learning
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Model Counting for Dependency Quantified Boolean Formulas
arxiv.org·12h
🤖AI
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