AI Model Fine-Tuning

AI development platform for building, fine-tuning, and deploying private LLM applications with observability.

Maitai makes building reliable AI applications easy by autocorrecting faulty model output in real-time and automatically fine-tuning models that learn from their mistakes.

AI game art generation platform letting studios train custom models for consistent character and environment art.

Healthcare NLP company providing Spark NLP library and pre-trained medical language models for clinical text.

Unsloth is an open-source AI training platform that enables developers to fine-tune large language models 30x faster and with 90% less memory through custom kernels and optimized training pi...

AI-generated game asset platform that creates custom-trained models for consistent art styles in game development workflows.

Full-stack AI platform for computer vision, NLP, and audio recognition with pre-built models and custom training capabilities.

AI image toolkit with text-to-image, editing, outpainting, and custom model training plus developer API.

Open-source dataset replicating LLaMA training data for creating open and reproducible language models.

Open-source system for large-scale distributed training and inference of AI models with efficiency optimization.

Open-source lightweight language model family by Google designed for responsible AI development.

Crowdsourcing data labeling platform combining human workforce with AI for training data at scale.

AI data platform combining image annotation, model training, and deployment for computer vision workflows.

Open-source model for generating accurate API calls from natural language, reducing LLM hallucination on tools.

Indian AI infrastructure and custom ML model platform.

OpenPipe helps teams collect production AI interactions and turn them into fine-tuning and model improvement workflows.

Real-time synthetic data generation platform creating dynamic visual environments for AI model training.

AI company developing liquid neural networks based on MIT research, creating compact and efficient foundation models for edge deployment.