“From Perceptrons to Backpropagation: A Deep Dive into the Foundations of Deep Learning”
pub.towardsai.net·16h
📷Photography
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·2d
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Radar Trends to Watch: November 2025
oreilly.com·4d
✈Travel
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Autogen vs. Crew AI: Choosing the right agentic framework
blog.logrocket.com·1d
✈Travel
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Building Your First MCP Server: A Practical Guide
dev.to·12h·
Discuss: DEV
🍳Cooking
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I Built My Own AI Agent using n8n — And You Can Too
dev.to·2d·
Discuss: DEV
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AI Tools that I've Seen in the Wild
aplaceofmind.notion.site·1d·
Discuss: Hacker News
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AI News: Fri, Nov 07, 2025
dev.to·1d·
Discuss: DEV
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AI Agents Observability with OpenTelemetry and the VictoriaMetrics Stack
victoriametrics.com·1d
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Rubber Duck Debugging with LLMs: Why Explaining Your Problem Is the Solution
tidesofsea.com·1d·
Discuss: Hacker News
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No AI in Agents
thestoicprogrammer.substack.com·12h·
Discuss: r/programming
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AI Results Promotion and Optimisation: The Complete Guide to GEO
medium.com·13h
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Learning an Image Editing Model without Image Editing Pairs
paperium.net·2d·
Discuss: DEV
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A Guide to Solveit Features
fast.ai·1d
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Minimizing Loss ≠ Maximizing Intelligence
lesswrong.com·1d
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The AI development trap that wastes your time
suchdevblog.com·3d·
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Beyond Chatbots: 5 Next-Gen Use Cases for AI Agents in Customer Support
composio.dev·17h·
Discuss: Hacker News
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You can now interrupt ChatGPT as it learns to take feedback on the fly
techradar.com·19h
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·2d·
Discuss: Hacker News
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·1d
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