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Blueprint of the Week
Made by 
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.

Build an Agent
Evaluate surf-spot finding
Mozilla.ai
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Blueprint Related Content

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.

LiteLLM

LiteLLM is an open-source library that provides a unified API to call and manage multiple large language model providers using a single OpenAI-compatible interface.

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
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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Evaluation
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Model Training
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Synthetic Data Detection
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Agents
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Finetune STT with your voice
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Map Features in OSM with CV
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Finetune LLM using Federated AI
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Embedding
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Federated AI
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Image Segmentation
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Object Detection
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Automatic Speech Recognition
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Speech-to-Text
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Query structured documents Q&A
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Emails
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Newsletter
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Podcast
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Community
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Events
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Discord
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Data Extraction
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User-Interface
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Performance Optimization
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LLM Inference
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Language Modelling
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Text-to-Text
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Text-to-Speech
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Podcast personalities
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Document-to-podcast
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Blueprints
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Use Cases
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English
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General Language
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Multilingual
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Finetuning
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Local AI
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Federated Learning
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LLM Integration
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Evaluation
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Model Training
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Synthetic Data Detection
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Agents
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Finetune STT with your voice
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Map Features in OSM with CV
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Finetune LLM using Federated AI
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Embedding
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Federated AI
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Image Segmentation
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Object Detection
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Automatic Speech Recognition
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Speech-to-Text
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Query structured documents Q&A
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Emails
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Newsletter
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Podcast
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Community
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Events
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Discord
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Data Extraction
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User-Interface
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Performance Optimization
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LLM Inference
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Language Modelling
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Text-to-Text
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Text-to-Speech
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Podcast personalities
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Document-to-podcast
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Blueprints
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Use Cases
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English
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General Language
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Multilingual
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Finetuning
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Local AI
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Federated Learning
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LLM Integration
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Build an Agent
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Evaluate surf-spot finding
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Train Model
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Detect synthetic audio
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Markdown
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Audio File
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Transcript
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Fetch Posts & Generate Embeddings with LLM
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Map Features
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CompVis
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Federated AI
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Document
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Speech
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Personalized Timeline
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Algorithm
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Podcast
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Document