Ludwig — Build Custom LLMs Without Coding

Ludwig is an open-source declarative machine learning framework for building custom AI models without writing code.

Ludwig is an open-source declarative machine learning framework that allows users to train and deploy custom Large Language Models and deep learning models without writing code. This platform is specifically designed for data analysts and business owners who need to build sophisticated AI models using their own private data rather than relying on generic off-the-shelf solutions. By using a simple YAML configuration file, users can define their data schema and training parameters, making the entire machine learning lifecycle accessible to non-engineers. The tool provides advanced algorithms for efficient data processing and secure encryption protocols to ensure company information remains protected throughout the training process. Ludwig simplifies complex tasks like hyperparameter optimization and model versioning, which are typically resource-heavy for growing startups. Business owners can use these features to create bespoke customer service bots, sentiment analysis tools, or predictive sales models that are fine-tuned to their specific industry jargon and historical data sets. As listed on surfai.app, this framework bridges the gap between raw data and actionable business insights by providing real-time monitoring and detailed analytics of model performance. This allows businesses to refine their AI strategy in 2026 based on empirical evidence rather than guesswork. Ludwig is available as an open-source framework with additional enterprise support options for companies requiring scaled infrastructure and dedicated assistance.

• Pricing: freemium

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