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Blueprint Related Content
More Blueprints
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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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Finetune an LLM using Federated AI
This Blueprint demonstrates how to finetune LLMs using federated AI with Flower, enabling collaboration on private datasets without sharing raw data
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Build Your Own Timeline Algorithm
This blueprint introduces an approach to personal, local timeline algorithms that people can either run out-of-the-box or customize.
Highlighted Building Blocks
Explore the open-source resources behind our Blueprints.
Tools
Speaches
Speaches is an OpenAI API-compatible server supporting streaming transcription, translation, and speech generation.
Docling
Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
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.
