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Blueprint Related Content
Resources
Wasm-agents: AI agents running in your browser
Write agents as HTML files, which can just be opened and run in a browser, without the need for any extra dependencies.
Mozilla.ai
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Align text transcriptions in speech-to-text applications
This Blueprint enables you to re-adjust Whisper models to user-predefined texts, improving transcription accuracy for uncommon terms or names.
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LLM Document Parser
This Blueprint provides a locally runnable pipeline for parsing structured data from scanned or digital documents using open-source OCR and LLMs.
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Mozilla.ai
Compare agent frameworks on finding the best surf spot
This Blueprint demonstrates how to build a task-specific agent and compare different agent frameworks for a given use case, like finding a surfing spot.
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Train a model for synthetic audio detection
This blueprint guides you through training and using a machine learning model that effectively detects synthetic and modified audio content.
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Transcribe Audio Files with Open-Source Whisper Models
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.
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Convert documents to markdown format
This blueprint guides you to convert unstructured documents to Markdown format using the Docling command-line interface.
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Must-haves
Open-source models and tools usage
README, pyproject.toml, and organized folder structure
Demo app (Streamlit or Gradio) or jupyter notebook
Config file for easy customization
CLI support
Nice-to-haves
CPU compatibility for most local setups
Google Colab notebook option
PyPI package availability
Dockerfile for the demo app
Diagram of the Blueprint in the README
Setup and guidance docs using mkdocs
Highlighted Building Blocks
Explore the open-source resources behind our Blueprints.
Tools
Any-Agent
Any-Agent is a Python library designed to provide a single interface to access many different agent frameworks.
Whisper BiDec
Whisper BiDec enables to adjust transcriptions and recognize unusual names or phrases with smaller Whisper models.
Ultralytics
Ultralytics provides cutting-edge computer vision models, including YOLO11, enabling developers to integrate real-time object detection, segmentation, and classification into AI applications with minimal effort.
Datasets
Common Voice
A multilingual, crowdsourced collection of voice recordings from Mozilla.
Alpaca-gpt4
This dataset contains English Instruction-Following generated by GPT-4 using Alpaca prompts for fine-tuning LLMs.
Models
OuteTTS-0.1-350M
OuteTTS-0.1-350M is a novel text-to-speech synthesis model.
Qwen2.5-3B-Instruct-GGUF
Qwen2.5-3B-Instruct-GGUF is an instruction-tuned model that generates long-form content, and is optimized for efficient deployment via the GGUF format.
Kokoro-82M
Kokoro is an open-weight TTS model with 82 million parameters.
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