Deep Learning Without Training
zenodo.org·2d·
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Interpretability vs Explainability in Cheminformatics
jonswain.github.io·19h
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AI Models Fail Miserably at This One Easy Task: Telling Time
spectrum.ieee.org·1d·
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IDC's Worldwide AI and Generative AI Spending – Industry Outlook
blogs.idc.com·1d·
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The AI development trap that wastes your time
suchdevblog.com·4d·
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A Monad Guide for Beginners
dev.to·21h·
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Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation inMixture-of-Expert models
dev.to·4h·
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A.I. Is on Its Way to Something More Remarkable Than Intelligence
nytimes.com·3h·
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I Built My Own AI Agent using n8n — And You Can Too
dev.to·3d·
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·3d·
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**Real-time Object Localization using Edge AI**
dev.to·1d·
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·2d
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Beyond Chatbots: 5 Next-Gen Use Cases for AI Agents in Customer Support
composio.dev·1d·
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Gamechanging
reddit.com·10h·
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Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive OnlineExploration for Deep Research Agents
dev.to·13h·
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VLA^2: Empowering Vision-Language-Action Models with an Agentic Framework forUnseen Concept Manipulation
paperium.net·2d·
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BLIP3o-NEXT: Next Frontier of Native Image Generation
dev.to·18h·
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As we delve into the realm of quantum machine learning (QML)
dev.to·4h·
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Shifting Gears: What TDD Taught Me About Using AI Assistants
dev.to·1h·
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AI Tools that I've Seen in the Wild
aplaceofmind.notion.site·2d·
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