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README.md
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Blueprints are customizable workflows that help developers build AI applications using open-source tools and models. See our collection of Blueprints below:
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- [WASM Agents](https://github.com/mozilla-ai/wasm-agents-blueprint): Blueprint demonstrating how to run AI agents directly in the browser using WebAssembly (WASM).
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- [Surf Spot Finder](https://github.com/mozilla-ai/surf-spot-finder): Blueprint for comparing agent frameworks on finding the best surf spot.
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- [Document-to-podcast](https://github.com/mozilla-ai/document-to-podcast): Convert input documents into a podcast featuring multiple speakers.
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- [Document-to-Markdown](https://github.com/mozilla-ai/document-to-markdown): Transform documents into markdown format with Docling, developed in collaboration with [EleutherAI](https://www.eleuther.ai/).
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- [Structured-QA](https://github.com/mozilla-ai/structured-qa): A simple LLM workflow to answer questions based on structured documents.
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- [Speech-To-Text](https://github.com/mozilla-ai/speech-to-text): Transcribe audio files using Speaches, developed in collaboration with [EleutherAI](https://www.eleuther.ai/).
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- [Speech-To-Text Alignment](https://github.com/mozilla-ai/speech-to-text-alignment): Align / Bias Speech-to-Text models to a predefined set of words or phrases.
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- [Speech-To-Text Finetune](https://github.com/mozilla-ai/speech-to-text-finetune): Create your own Speech-to-Text model tailored for your specific language & use-case.
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- [Fake-Audio-Detection](https://github.com/mozilla-ai/fake-audio-detection): Train and deploy an ML model that detects synthetic audio, developed in collaboration with [UncovAI](https://uncovai.com/)
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- [OpenStreetMap AI Helper](https://github.com/mozilla-ai/osm-ai-helper): Map Features in OpenStreetMap with Computer Vision.
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- [Federated Finetuning](https://github.com/mozilla-ai/federated-finetuning): Finetune a language model with federated AI, developed in collaboration with [Flower](https://flower.ai/).
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- [Build Your Own Timeline Algorithm](https://github.com/mozilla-ai/byota): An approach to personal, local timeline algorithms that people can either run out-of-the-box or customize.
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Also, check out the Blueprints created by the community:
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Blueprints are customizable workflows that help developers build AI applications using open-source tools and models. See our collection of Blueprints below:
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- [WASM Agents](https://github.com/mozilla-ai/wasm-agents-blueprint): Blueprint demonstrating how to run AI agents directly in the browser using WebAssembly (WASM).
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- [Surf Spot Finder](https://github.com/mozilla-ai/surf-spot-finder): Blueprint for comparing agent frameworks on finding the best surf spot.
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- [Document-to-podcast](https://github.com/mozilla-ai/document-to-podcast): Convert input documents into a podcast featuring multiple speakers.
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- [Document-to-Markdown](https://github.com/mozilla-ai/document-to-markdown): Transform documents into markdown format with Docling, developed in collaboration with [EleutherAI](https://www.eleuther.ai/).
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- [Structured-QA](https://github.com/mozilla-ai/structured-qa): A simple LLM workflow to answer questions based on structured documents.
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- [Speech-To-Text](https://github.com/mozilla-ai/speech-to-text): Transcribe audio files using Speaches, developed in collaboration with [EleutherAI](https://www.eleuther.ai/).
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- [Speech-To-Text Alignment](https://github.com/mozilla-ai/speech-to-text-alignment): Align / Bias Speech-to-Text models to a predefined set of words or phrases.
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- [Speech-To-Text Finetune](https://github.com/mozilla-ai/speech-to-text-finetune): Create your own Speech-to-Text model tailored for your specific language & use-case.
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- [Fake-Audio-Detection](https://github.com/mozilla-ai/fake-audio-detection): Train and deploy an ML model that detects synthetic audio, developed in collaboration with [UncovAI](https://uncovai.com/)
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- [OpenStreetMap AI Helper](https://github.com/mozilla-ai/osm-ai-helper): Map Features in OpenStreetMap with Computer Vision.
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- [Federated Finetuning](https://github.com/mozilla-ai/federated-finetuning): Finetune a language model with federated AI, developed in collaboration with [Flower](https://flower.ai/).
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- [Build Your Own Timeline Algorithm](https://github.com/mozilla-ai/byota): An approach to personal, local timeline algorithms that people can either run out-of-the-box or customize.
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Also, check out the Blueprints created by the community:
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