Video to Text Rendering: A Simple AI Pipeline

Here’s a powerful one-liner that converts any video into a concise text summary using modern AI tools: #!/bin/sh yt-dlp -x --audio-format mp3 "$1" -o "audio.mp3" && \ whisper "audio.mp3" --model medium --output_format txt --output_dir . && \ cat audio.txt | ollama run mistral "Summarize the following text, removing any fluff and focusing on key points: ${cat}" > summary.txt && \ rm audio.mp3 audio.txt && cat summary.txt How It Works The pipeline combines three powerful tools: yt-dlp: A robust video downloader that handles YouTube, Vimeo, and many other platforms. It extracts just the audio track to minimize processing time. ...

October 12, 2024 · 2 min · 268 words

GPU Comparison Guide: Running LLMs on RTX 4070, 3090, and 4090

As more developers and enthusiasts venture into running Large Language Models (LLMs) locally, one question keeps coming up: Which GPU should you choose? In this post, we’ll compare three popular NVIDIA options: the RTX 4070, 3090, and 4090, breaking down the technical jargon into practical terms. Understanding the Key Terms Before diving into the comparison, let’s decode what these specifications mean in real-world usage: VRAM (Video RAM) Think of VRAM as your GPU’s short-term memory: ...

June 16, 2024 · 3 min · 554 words