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Stories

  • Gemini 4 Argon Hands-On Review: Capabilities and Performance

    Google’s Gemini 4 Argon promises stronger capabilities across creative, analytical, and document-heavy tasks. But how well does it perform in practice? From generating videos and building websites to analyzing data and reconciling conflicting documents, the model offers plenty to explore.

    Analytics Vidhya9 min read
  • OpenAI Decisions API Tutorial for Building Decision Agents

    Imagine building an AI agent that has to decide whether a customer complaint needs human intervention, which department should handle a query, or whether a submitted delivery photo is valid. Getting these decisions right matters.

    Analytics Vidhya8 min read
  • LLM Batching Explained: Static vs Dynamic vs Continuous Batching

    Imagine four people booking a ride to the same destination. If each person takes a separate taxi, four vehicles make the same trip. But if they travel together in a bus, everyone reaches the destination in a single trip. The bus carries more people at once and makes better use of the resources.

    Analytics Vidhya12 min read
  • The AI Agent Memory Architecture Explained - From State to Long-Term Memory

    Most developers building AI agents confuse conversation history with memory. But designing memory for a real-world AI agent involves much more than storing chat messages in a database. In this video, we'll explore AI Agent Memory Architecture from an engineering and system-design perspective.

    Applied with AI
  • 12 MLOps Projects to Build Real Production ML Skills

    Most machine learning portfolios stop at a notebook with 94% accuracy. Hiring managers have seen that a hundred times, and it says nothing about whether you can run a model in production. That gap is exactly what MLOps projects close.

    AI and Machine Learning Roadmaps Blog9 min read
  • 15 Docker Projects to Level Up Your DevOps Skills

    Reading about Docker and actually using it in a DevOps pipeline are two different skills. You can understand what a container is in five minutes, but knowing how to containerize a multi-service application, debug a broken build, or set up a private registry only comes from doing it.

    AI and Machine Learning Roadmaps Blog10 min read
  • 15 FastAPI Projects With Source Code for Your Portfolio

    Most Python portfolios look the same: a to-do app, a Titanic notebook, and not much else. Hiring managers screening backend and AI candidates want something sharper, and well-chosen FastAPI projects deliver it.

    AI and Machine Learning Roadmaps Blog8 min read
  • Touch Grass Bingo: Nature Exploration Powered by OpenCLIP & Render 🌿

    This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass Touch Grass Bingo: Nature Exploration Powered by OpenCLIP & Render 🌿 What I Built Modern developers and students often spend 12+ hours a day behind glowing monitors, debugging code and attending virtual…

    Dev.to AI6 min read
  • Article: The Platform Engineering Playbook for Production LLMs

    In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one.

    InfoQ - AI/ML/Data31 min read
  • The Complete Guide to Voice AI Security and Privacy

    Understanding Voice AI Security and Privacy Voice AI is no longer a niche research topic—it's powering assistants, call‑center bots, and even in‑car infotainment systems.

    Dev.to AI5 min read
  • One Codebase. Two Products. Here's How I Built Both at Once.

    AccessBuild taught me the pattern. AgriMind is applying it. Both are live. If you've been following my build logs, you know the rhythm. I was deep into AccessBuild—an AI-powered accessibility audit tool that scores mobile apps from A to F.

    Dev.to AI2 min read

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