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Articole: 10

  1. Bigger Wasn’t Better: Benchmarking Small Models for digiKam’s Natural Language Search

    (Srirupa’s Blog)

    GSoC 2026 • digiKam • Post 3: The Benchmark, and the Fine-Tuning Decision At the end of my last post I promised a comparison: Qwen2.5 against TinyLlama on real digiKam queries.

  2. The Model Was Never the Hard Part: Integrating Qwen2.5 into digiKam for Natural Language Search

    (Srirupa’s Blog)

    GSoC 2026 • digiKam • Post 2: Inference, Bugs, and the Build In my first post, I introduced the goal: type a plain-English search into digiKam and have a local LLM translate it into structured search criteria.

  3. Teaching digiKam to Understand You: Natural Language Search with Local LLMs

    (Srirupa’s Blog)

    GSoC 2026 • digiKam • Post 1: Design and Progress I’ve been hanging around KDE apps since I was a teenager :), so getting to spend another summer inside one feels a bit like coming home.

  4. Writing a Monadic Interpreter in Haskell

    (Srirupa’s Blog)

    Back in my second year of college, I had just started exploring functional programming.

  5. Automating my Car shooter game with MCTS

    (Srirupa’s Blog)

    This project began as a casual college game I developed in my second year, using Pygame.

  6. Exploring new bundles in Krita

    (Srirupa’s Blog)

    After almost a year, I finally found some time to dive back into Krita.

  7. Unleashing the new Bundle Editor

    (Srirupa’s Blog)

    Introducing the Bundle Editor The Bundle Editor is an extension of the Bundle Creator, designed to enable artists to modify existing bundles.

  8. Long Post Alert!!

    (Srirupa’s Blog)

    Caution: Technical Jargon Zone!

  9. The Fully Functional Bundle Creator

    (Srirupa’s Blog)

    Recap Welcome back!

  10. Second Blog Post for GsoC’23

    (Srirupa’s Blog)

    Overview If you’ve been following my previous blog posts, you may recall that I’ve been working on enhancing the user interface of the Bundle Creator in Krita.