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dev.to > beck_moulton > more-than-just-labels-building-a-skin-lesion-classifier-with-resnet-50-and-explainable-ai-3j7n

More Than Just Labels: Building a Skin Lesion Classifier with ResNet-50 and Explainable AI (Grad-CAM)

More Than Just Labels: Building a Skin Lesion Classifier with ResNet-50 and Explainable AI (Grad-CAM)39+ min ago   (406+ words) Have you ever looked at a medical AI demo and wondered, "Sure, it says it's a rash, but what exactly is the model looking at?" In the world of Computer Vision and Medical AI, the "Black Box" problem isn't just…...

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dev.to > z_m_570bc25c2745 > solving-bandit-level24-25-spoiler-3gcg

Solving bandit level:24-25 (Spoiler)

Solving bandit level:24-25 (Spoiler)4+ hour, 25+ min ago   (322+ words) Excuse the mess since I am posting pretty much my thoughts process here and I am working on my post-mortem skills. It gets better from here though, I think. This is how I solved this level of the bandit game,…...

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dev.to > neuml > txtai-got-skills-2b61

TxtAI got skills

TxtAI got skills6+ hour, 47+ min ago   (366+ words) This example will demonstrate how to use txtai agents with skill.md files. We'll setup a skill.md file with details on how to use TxtAI and run a series of agent requests. Install txtai and all dependencies. Next, we'll…...

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dev.to > rushyhirosan > why-i-built-a-stateless-trend-dashboard-41f1

Why I Built a Stateless Trend Dashboard — Minimal, Focused, and Ephemeral

Why I Built a Stateless Trend Dashboard — Minimal, Focused, and Ephemeral7+ hour, 1+ min ago   (488+ words) As a developer, I often check trends for ideas, learning, or simple curiosity. Search trends, social media, videos, podcasts, news. At some point, I realized something uncomfortable: I was spending more time tracking trends than actually thinking or building. Many…...

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dev.to > nelson_amaya_16872e58232b > i-built-a-runtime-governance-engine-based-on-13th-century-philosophy-here-is-how-it-works-fog

I Built a Runtime Governance Engine Based on 13th-Century Philosophy. Here is How it Works.

I Built a Runtime Governance Engine Based on 13th-Century Philosophy. Here is How it Works.7+ hour, 16+ min ago   (486+ words) I want to share a project I have been building for the last year. It is called SAFi (Self-Alignment Framework Interface). This is not another chatbot wrapper or agent framework. It is the implementation of a decision-making model I developed…...

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dev.to > travis_cole > stop-treating-all-ai-memories-the-same-introducing-cortex-who-forgot-2h86

"Stop Treating All AI Memories the Same — Introducing Cortex, Who Forgot?"

"Stop Treating All AI Memories the Same — Introducing Cortex, Who Forgot?"10+ hour, 36+ min ago   (379+ words) A quick fact ("PostgreSQL runs on port 5432") is not the same as a learned pattern ("always use connection pooling for high-traffic services"). A deployment event is not the same as a user preference. So why do most memory systems treat…...

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dev.to > vigneshwaralingam > if-our-tables-could-predict-the-future-1981

If our tables could predict the future?

If our tables could predict the future?12+ hour, 48+ min ago   (170+ words) I recently attended an webinar hosted by Syncfusion that opened my eyes to the power of integrating AI into standard UI components. As a developer, we are used to displaying dynamic data in tables.But what if our tables could…...

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dev.to > hejhdiss > neural-differential-manifolds-in-robotics-real-time-learning-without-retraining-lf3

Neural Differential Manifolds in Robotics: Real-Time Learning Without Retraining

Neural Differential Manifolds in Robotics: Real-Time Learning Without Retraining13+ hour, 10+ min ago   (834+ words) Traditional neural networks have a fundamental limitation: they learn in batches, update their weights, and then freeze until the next training session. This works fine for static problems like image classification, but what about a robot that needs to adapt…...

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dev.to > james920609 > building-a-human-like-ai-outbound-calling-agent-at-001minute-6ci

Building a Human-Like AI Outbound Calling Agent at ~$0.01/Minute - part 1

Building a Human-Like AI Outbound Calling Agent at ~$0.01/Minute - part 113+ hour, 41+ min ago   (189+ words) Hi. Dev Community! A month ago, a client approached me with an interesting challenge: Build an AI-powered outbound calling agent that can handle 50+ concurrent calls, sound indistinguishable from a human, and cost around $0.01 per minute. The agent was meant for…...

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dev.to > kainoah > deep-dive-understanding-contextual-recall-in-rag-systems-4oo1

🥽 Deep Dive: Understanding Contextual Recall 🎯 in RAG Systems

🥽 Deep Dive: Understanding Contextual Recall 🎯 in RAG Systems15+ hour, 58+ min ago   (265+ words) Contextual Recall measures the semantic completeness of your retrieval system. It is calculated by first generating a list of claims or statements from the Expected Output (Ground Truth) of the RAG system. Using an LLM (typically the same model used…...