If you're looking for a Dayzero alternative, Keywords AI is a strong contender. The service offers a single DevOps environment for building, deploying and monitoring AI applications based on large language models (LLMs). A single API endpoint can handle multiple LLM models, and it can handle hundreds of concurrent requests without suffering from latency. It can be integrated with OpenAI APIs, and it comes with a playground and prompt management system for testing and optimizing models. Its interface is designed to be easy to use, and its streamlined DevOps process is geared for AI startups.
Another strong contender is TeamAI, which is geared for teams that want to collaborate on AI projects. TeamAI lets teams use a variety of LLMs, including Gemini, GPT-4 and LLaMA. It offers centralized AI workspaces, shared libraries of prompts, and custom plugins to create AI assistants. It's good for automating processes, generating ideas and boosting team productivity in a variety of departments.
For those who want to focus on data ingestion and big data pipelines, Airtrain AI is a no-code compute platform. It's got an LLM Playground for testing more than 27 models, a Dataset Explorer for visualizing and curating data, and AI Scoring for evaluating models. Tiered pricing from free to enterprise means Airtrain AI is designed to make LLMs more affordable and easier to use for quick testing, fine tuning and deployment.
Last, Anyscale is a powerful foundation for building, deploying and scaling AI applications. It's based on the open-source Ray framework, which can handle a variety of AI models. It's got features like workload scheduling, cloud flexibility and heterogeneous node control. Anyscale is designed to be fast and efficient, with a 50% cost savings on spot instances and direct integration with popular integrated development environments. It's also got strong security and governance features, too, so it's good for enterprise use.