Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
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Updated
Jan 6, 2026 - Python
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
The open source, AI-powered app builder
Declarative YAML-based AgentOps framework for building composable AI agents
An AI app template
ai-infrastructure-development, ai-application-development etc
This repository will be used for the code in the deeplearning.ai course for LangChain
This course is designed to teach you how to QUICKLY harness the power of the LangChain library for LLM applications. Build 3 end-to-end working LangChain based generative AI applications with no fluff, no toy examples - just real projects using real APIs and real-world skills.
A single most valuable resource for the "Artificial Intelligence Driven Development to Build Applications with Human in the Loop" , the resource will host all step by step foundations for anyone to start building with AI by leveraging various models, tools, techniques and more.
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