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title: Mozilla.ai
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Mozilla.ai
What we're working on:
- any-agent: A single interface to use and evaluate different agent frameworks.
- any-llm: A single interface to use different llm providers.
π Blueprints
Blueprints are customizable workflows that help developers build AI applications using open-source tools and models. See our collection of Blueprints below:
WASM Agents: Blueprint demonstrating how to run AI agents directly in the browser using WebAssembly (WASM).
Surf Spot Finder: Blueprint for comparing agent frameworks on finding the best surf spot.
Document-to-podcast: Convert input documents into a podcast featuring multiple speakers.
Document-to-Markdown: Transform documents into markdown format with Docling, developed in collaboration with EleutherAI.
Structured-QA: A simple LLM workflow to answer questions based on structured documents.
Speech-To-Text: Transcribe audio files using Speaches, developed in collaboration with EleutherAI.
Speech-To-Text Alignment: Align / Bias Speech-to-Text models to a predefined set of words or phrases.
Speech-To-Text Finetune: Create your own Speech-to-Text model tailored for your specific language & use-case.
Fake-Audio-Detection: Train and deploy an ML model that detects synthetic audio, developed in collaboration with UncovAI
OpenStreetMap AI Helper: Map Features in OpenStreetMap with Computer Vision.
Federated Finetuning: Finetune a language model with federated AI, developed in collaboration with Flower.
Build Your Own Timeline Algorithm: An approach to personal, local timeline algorithms that people can either run out-of-the-box or customize.
Also, check out the Blueprints created by the community:
- LLM Document Parser: A locally runnable pipeline for parsing structured data from scanned or digital documents using open-source OCR and LLMs.
Would you like to build your Blueprints? Use our template:
π Lumigator
Lumigator is an open-source platform developed to help users select the most suitable language model for their specific needs