Best model training AI tools

EntryPoint AI is a no-code platform designed to simplify the fine-tuning of large language models (LLMs). It enables users to manage datasets, train, evaluate, and deploy custom AI models from providers like OpenAI without writing any code. The platform helps improve model quality, speed, and predictability for specific business tasks, making advanced AI customization accessible to teams of any size.

A comprehensive AI startup boilerplate built on Next.js. It provides pre-built components, AI integrations for code generation and NLP, model training capabilities, and advanced analytics. Designed to help developers and startups launch AI-powered applications rapidly by handling foundational infrastructure like authentication, payments, and security.

Nebius is a high-performance cloud platform specifically engineered for AI and machine learning. It provides access to the latest NVIDIA GPUs, scalable clusters with InfiniBand networking, and fully managed services like Kubernetes and Slurm, enabling seamless AI model training, fine-tuning, and inference at any scale.

Liner.ai is a free, no-code desktop application for Windows and Mac that allows users to easily train and deploy machine learning models. It simplifies the entire ML workflow, from data import to model deployment, without requiring any coding or deep learning expertise. It's designed for creating applications in image, text, audio, and video classification, object detection, and more, with a focus on speed, accuracy, and data privacy.

Lobe is a free, user-friendly desktop application for Mac and Windows that allows you to build, train, and deploy custom machine learning models without writing any code. It simplifies the process of creating AI, focusing primarily on image classification.