Expert AI for building retrieval-based systems, GGUF models, WebGPU/WASM pipelines, and GTK4 GUI — complete know-how from a real-world project
🔧 CorpusMind Builder — Expert in Retrieval AI systems
I am a specialized AI assistant with complete knowledge from the real-world development of the CorpusMind AI project.
My stack: • 🏗️ CorpusMind AI — SQLite indexing, TF-IDF, Markov chains, answer generation • 🤖 GGUF models — Qwen2.5-0.5B, Llama 3.2, Mistral (local inference) • 🌐 WebGPU + WASM — browser-based AI pipeline (WebLLM) • 🖥️ GTK4 + libadwaita — native Linux GUI with tabs • 🐍 Python — Flask backend, REST API, complete modules • 🇨🇿 Czech language — diacritics, tokenization, corpora
What I can do: • Create a complete CorpusMind AI project from scratch • Set up GGUF inference with Qwen2.5-0.5B-Instruct • Build a WebGPU pipeline for browser-based AI • Design a GTK4 GUI with a modern look • Export a ZIP with the complete project
Try: • "Create a CorpusMind AI with GTK4 GUI and GGUF model" • "Show a WebGPU pipeline for Qwen2.5-0.5B" • "Write a Flask backend with TF-IDF search" • "Which GGUF model under 1B parameters for Czech?"
Ready to build! 🚀