If you're looking for a no-code way to fine-tune AI models, Airtrain AI is a good choice. It's a no-code compute platform geared for data teams that need to run big data pipelines. It's got an LLM Playground where you can fine-tune and customize more than 27 open-source and proprietary models. And Airtrain AI includes AI Scoring to test models with your own attributes and task prompts, so it's easy and relatively inexpensive to deploy your own custom AI model.
Another good contender is GPTBots. This service lets you build business applications powered by AI without writing any code. It can handle real-time training, multimodal dialogue input and integration with thousands of tools and services. With features like an enterprise-specific knowledge base and controllable LLMs, GPTBots can be used to generate blog posts, sales leads and respond to customer support requests.
If you're looking for a chat interface specifically geared for fine-tuning and deploying LLMs, check out MonsterGPT. It lets you fine-tune LLMs for tasks like code generation and sentiment analysis with text prompts. With features like job scheduling, error handling and pre-hosted generative AI APIs, MonsterGPT is designed to be easy to use and flexible.
Last, MindStudio is a no-code AI application development platform that lets you create your own custom AI tools and automations without coding. It integrates with multiple data sources and offers personalized AI assistants, so it's a good option for a wide range of AI uses. With tiered pricing and a pay-per-use option for AI models, MindStudio is good for a variety of needs and budgets.