Fine-tune DeepSeek models using your own markdown files as training data. Converts your notes/docs into high-quality Q&A pairs using Gemini, then trains a personalized LLM via Tinker cloud GPUs.
The author experimented with feeding a month's worth of daily journal entries (originally in Obsidian) into NotebookLM. The AI was able to analyze the entries, summarize personal growth, and allow for conversational querying of the journal data, providing insights and context with citations to the original entries.
Render any git repo into a single static HTML page for humans or LLMs. Flatten any GitHub repository into a single, searchable HTML page with syntax highlighting, markdown rendering, and a clean sidebar navigation.
Simon Willison discusses Toad, a new terminal coding assistant built by Will McGugan using Textual. It aims to improve upon existing tools like Claude Code and Gemini CLI by avoiding flicker and offering better interaction with terminal output. Toad is currently in private preview, available through GitHub sponsorship.
ollamark is a command-line client for Ollama with markdown support. It allows users to execute prompts with various options like model selection, system prompts, temperature control, and output formatting (JSON, HTML).
A cat(1) clone with syntax highlighting and Git integration.
MDColor is a Python script designed for Linux terminals that takes Markdown text via piped input and outputs a colorized and styled version directly to your terminal. It enhances readability by applying ANSI escape codes for bold, italic, headers, code blocks (with syntax highlighting via Pygments for supported languages), lists, links, and more.
MarkItDown is an open-source Python utility that simplifies converting diverse file formats into Markdown, designed to prepare data for LLMs and RAG systems. It handles various file types, preserves document structure, and integrates with LLMs for tasks like image description.
This article details a method for converting PDFs to Markdown using a local LLM (Gemma 3 via Ollama), focusing on privacy and efficiency. It involves rendering PDF pages as images and then using the LLM for content extraction, even from scanned PDFs.
The article provides a tutorial on creating checklists in Markdown for GitHub repositories, issues, and pull requests. It explains how to make task lists more manageable and introduces GitHub’s functionality to enhance these lists for better project tracking and task management.
