What I learned building Python notebooks to run any AI model (LLM, Vision, Audio) — across CPU, GPU, and NPU
🏡Local running LLMs
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Show HN: Oodle – Unified Debugging with OpenSearch and Grafana
🔮AI prompt engineering tools
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning
arxiv.org·1d
🏡Local running LLMs
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New prompt injection papers: Agents Rule of Two and The Attacker Moves Second
🏡Local running LLMs
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Cline: The Fastest Growing AI Open Source Project on GitHub in 2025, Thanks to You
cline.ghost.io·18h
⌨️Prompt Engineering
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Video Invisible Watermarking at Scale
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Introducing Agent-o-rama: build, trace, evaluate, and monitor stateful LLM agents in Java or Clojure
⌨️Prompt Engineering
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Show HN: Claude Code disrupted programming. Bringing that power to office worker
🔮AI prompt engineering tools
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The AI Capability Gap
🔮AI prompt engineering tools
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r/mathematics
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Lessons from 70 interviews on deploying AI Agents in production
🔮AI prompt engineering tools
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Show HN: Nallely – a modular reactive Python system for custom MIDI instruments
⌨️Prompt Engineering
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Show HN: I built an edge ML system to detect and classify trick-or-treaters
🔮AI prompt engineering tools
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