Writing / Engineering notes
Practical guides, experiments, and the details behind what I build. Follow the examples, inspect the code, and read the sources.
108 articles / Page 5 of 9
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I tried Firebase Studio, Google’s browser-based workspace for building web apps with AI assistance. Here’s how I created a project, previewed it, and prepared it for deployment.
Read the article →Here are answers to the questions I had while trying Gemini 2.5 Pro: what it can do, where to access it, what it costs, and which limitations to watch for.
This guide covers Google’s Gemma 3 models and how to run them locally. I’ll walk through the model sizes, setup, and examples with text and images.
I tried Gemini Canvas for writing and generating a webpage. Here’s how its workspace, editing controls, and code preview worked.
I’ve been trying Google AI Studio to test Gemini models and build small AI projects. This guide covers its main controls and shows how to run your first prompt.
This guide introduces Hugging Face’s models, datasets, and Spaces. I’ll show how to find a model, try a demo, and use the Transformers library in Python.
Gemini Code Assist is Google’s assistant for writing, completing, and debugging code. This guide shows how to set up its free individual plan in VS Code.
HuggingChat is a free chatbot from Hugging Face that lets you try different open models. I’ll show how to start a conversation and use its settings.
Sync an Obsidian vault between desktop and mobile using a private GitHub repository and the Obsidian Git plugin.
Run a distilled DeepSeek-R1 model locally with Ollama and Open WebUI, then use it as a chatbot in your browser.
This guide shows how to run DeepSeek-R1 locally and connect it to Obsidian. You’ll be able to ask questions and generate text from inside your notes.
I tried DeepSeek and compared it with ChatGPT. This guide covers its features and shows how to run a model locally.
