This Blueprint shows you how to transcribe audio files using open-source Whisper models via Speaches, a self-hosted server that mimics the OpenAI Whisper API.

This blueprint guides you to convert unstructured documents to Markdown format using the Docling command-line interface.

This blueprint introduces an approach to personal, local timeline algorithms that people can either run out-of-the-box or customize.

This Blueprint demonstrates how to finetune LLMs using federated AI with Flower, enabling collaboration on private datasets without sharing raw data

This Blueprint shows you how to fine-tune an object detection model to map features in OpenStreetMap, with human verification.

This Blueprint demonstrates how to fine-tune a Speech-To-Text model in your own language using CommonVoice data and your own voice data.

This Blueprint demonstrates how to use open-source models and a simple LLM workflow to answer questions based on structured documents.

This blueprint demonstrates how you can use open-source models & tools to convert input documents into a podcast featuring two speakers.

This blueprint guides you through training and deploying a machine learning model that effectively detects synthetic and modified audio content.