Here's a thinking process: 1. **Analyze User Input:** - **Role:** Technical news summarizer - **Task:** Condense provided news into brief HTML summary - **Input:** News title, source, URL, author, date, description - **Output Format:** Specific HTML with `

` containing 2-4 sentences, and `Read original` - **Rules:** - 2-4 sentences max - Precise technical language - No invented info - Output ONLY valid HTML, no text before/after - English only (translate if needed, but source appears English) 2. **Extract Key Info from News:** - Title: MakazhanAlpamys /Soup - Source: github-trending/python - URL: https://github.com/MakazhanAlpamys/Soup - Author: MakazhanAlpamys - Date: 2026-08-15 - Description: Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. 3. **Identify Core Technical Content:** - Tool/feature: "Soup" (likely a Python project) - Function: Fine-tune LL