AiFiler
AI-powered document intelligence. Chat, compare, analyze
What it does
Upload any document. Chat with it. Compare versions. Generate reports. All powered by AI that understands your content. • Chat with documents (24/7 AI assistant) • Compare & analyze (spot differences instantly) • Multi-doc reports (synthesize insights from multiple files) • Semantic search (find what matters, not just keywords) • Smart tables (structure from chaos) • Voice commands (hands-free control) • Real-time collaboration 7-day free trial. No card required. Cancel anytime.
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aiPDF - talk to books, docs and podcasts2023 · ▲381ethical, powerful AI assistant for students and researchers
- JAJust another AI tool for chatting with docs, only better:)2024 · aipdf.ai · ▲5
aiPDF is your AI assistant that can scan, understand and "chat" with all your documents. It summarises massive docs in seconds and finds any information you want. It works with any file type, web articles and even with YouTube videos!
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
