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105+ articles

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2017 since

Artur Poniedziałek

IT Expert & Project Manager

AI enthusiast, local LLMs and practical tech solutions. Managing IT projects and sharing experience on this blog.

🤖 AI in Practice ⚡ IT Management 🐍 Python 🖥️ Local LLMs

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⚙️ AI Tools & Automation

Content remix pipeline: a local LLM rewrites one article into LinkedIn, newsletter and summary

Automated content remix pipeline — transforming blog articles into social media posts, newsletters, YouTube scripts and presentations. Qwen3.6 as the transformation engine.

30th June 2026 8 min

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⚙️ AI Tools & Automation

26th June 2026 8 min

OmniVoice and local TTS: voice cloning and speech synthesis without cloud on Windows 11

How to run local TTS and voice cloning on Windows 11 with AMD W7900. OmniVoice, Kokoro TTS, CSSTts — comparison of quality,…

Frame sampling with VLM: how a local AI model understands video frame by frame

Pipeline for video analysis by sampling frames and using a vision model. VLM describes what is happening in the video, tracks changes…

yt-dlp + Whisper locally: automatic YouTube video transcription without the cloud

Pipeline for downloading audio from YouTube via yt-dlp and transcribing with local Whisper. Comparison of Whisper and FasterWhisper models. Python script with…

Dashboards, reports and bug triage: how well a local vision model reads what the team sees

Which VLM understands BI charts, report tables and error screenshots best? We test Qwen3-VL, Qwen2.5-VL, MiniCPM-V and Llama Vision on real dashboard…

Vision in practice: agentic screenshot analysis with Playwright and VLM models

We build a pipeline: Playwright takes screenshots of pages and UI, a VLM model (Qwen3-VL, LLaVA) analyses them and answers questions. Python…

LM Studio as a local backend for an agent: API, code editors and developer scenarios

How to use LM Studio as an OpenAI-compatible API backend for coding agents. Integration with Continue.dev, Cursor and a custom Python script.…

Qwen3.6-35B-A3B in practice: text, image, video and local API workflows

A practical guide to Qwen3.6-35B-A3B as one local multimodal model. See how to design prompts, call LM Studio or Ollama endpoints, and…

Benchmark lab for local models: real 27B-35B results on one 48 GB GPU

A practical benchmark lab for local models on AMD PRO W7900 48 GB. Real tok/s, TTFT, disk size, VRAM after loading and…

Multi-Token Prediction on AMD W7900: 1.85× speedup with llama-server Vulkan (Qwen3.6-35B benchmark)

We benchmark Multi-Token Prediction in llama-server (llama.cpp, Vulkan) on AMD PRO W7900. Real results: 49.7 → 91.8 tok/s, up to 2× on…

Private AI Assistant for Productivity: How Freelancers and Managers Can Get Work Done in the Background

A practical English article on private AI assistants, background work, personal context, privacy, and real productivity gains for freelancers and managers.

Describing PDF Charts with Vision Language Models

Use Vision Language Models (VLMs) to convert PDF charts into searchable text descriptions. Build complete pipelines for chart extraction, processing, and RAG…

Running Local LLMs with OpenAI-Compatible APIs

Run powerful LLMs locally using OpenAI-compatible APIs. Learn to set up LM Studio, Ollama, and vLLM servers for private, cost-free AI inference.

Hybrid Search: Combining Vector and Keyword Retrieval

Master hybrid search combining vector similarity and keyword matching. Learn BM25, Reciprocal Rank Fusion, and score merging strategies for optimal RAG retrieva

LanceDB: Lightweight Vector Database for AI Applications

Complete guide to LanceDB, a lightweight serverless vector database for AI applications. Learn indexing, querying, filtering, and best practices for RAG systems

Practical knowledge on AI and technology for every IT Pro

Artur Poniedziałek

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