Show HN: Video processing pipeline for LLM – Python

1 point

a year ago

Transfer Learning is our powerful CLI tools for processing video pipelines for RAG over video and the basis for any large action model by generating step-by-step guides using AI developed internally at Wearer Lab.

Why? We built this tool to: 1. Extract general knowledge and offer video processing capabilities to any large language model, which to this day only Gemini is capable of doing. 2. Extract step-by-step reasoning to train domain-specific AI models 3. Extract step-by-step guide necessary to build large action models 4. Offer domain expertise instruction to any LLM operator from Browser Agent (ie: Browser Use (W25), Browserbase, OpenAI operator) to Computer Agent (Anthropic Computer Use)

This tool can handle both local video files and YouTube videos, extracting key frames and generating detailed guides using any large language model supporting OpenAI format.

- Github Link: https://github.com/Wearer-Lab/transfer-learning - Documentation: https://docs.wearer.xyz/ - License: Eclipse Public License - v 2.0