ludwig and OpenLLM
These are complements: Ludwig provides the low-code framework for building and training custom models, while OpenLLM handles deployment and serving those models (or other open-source LLMs) as production API endpoints.
About ludwig
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
This tool helps machine learning engineers and data scientists build custom AI models, including large language models (LLMs) and deep neural networks, with minimal coding. You provide your dataset and a simple configuration file, and Ludwig outputs a trained, production-ready AI model. It's designed for practitioners who need to quickly develop and deploy advanced AI solutions without deep diving into complex code.
About OpenLLM
bentoml/OpenLLM
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
This project helps software developers, machine learning engineers, and data scientists easily host and serve open-source Large Language Models (LLMs) from their own cloud infrastructure. It takes various open-source LLMs as input and outputs an OpenAI-compatible API endpoint, making it straightforward to integrate these models into applications. The primary users are developers building AI-powered applications who need to deploy and manage LLMs.
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