If you want a platform that lets you fine-tune AI models in real time with no extra cost or training time, Exthalpy is a good choice. The serverless, decentralized interface to large language models lets you tap into the internet in real time and supports use cases like chatbot systems, personalized product recommendations and market intelligence models. There are no recurring storage costs, and no tuning or training time, so Exthalpy can be a good option for real-time enterprise knowledge management and product management with live analysis.
Another powerful option is Abacus.AI, which lets developers create and run applied AI agents using generative AI and other neural network technology. It can fine-tune large language models and offers a range of predictive and analytical tools. It's designed for enterprise use, with high availability, governance and compliance, so it's good for automating complex tasks and real-time forecasting.
For a flexible and scalable option, check out AIML API. It offers access to more than 100 AI models through a single API, with serverless inference and a pay-by-token pricing model. It's designed for high scalability and reliability, so it's a good option if you want to add advanced machine learning abilities to your projects without breaking the bank.
Last, Airtrain AI offers a no-code compute platform with tools to handle big data pipelines, including fine-tuning AI models. With an LLM Playground for exploring different models and AI Scoring for assessing models, Airtrain AI is a good option if you want to customize and deploy AI models without a lot of infrastructure investment.