If you're looking for a Baseplate alternative, Predibase is another top contender. It lets developers train, tune and serve large language models and supports classification, information extraction and code generation tasks. It comes with a managed serving infrastructure and enterprise-grade security, and is well suited for running AI workloads.
Another top contender is LlamaIndex, which makes it easier to integrate your own data sources into large language models for production use. It supports more than 160 data sources and a variety of data formats, so it's good for plugging data into LLMs. With a lot of community support and a flexible pricing model, LlamaIndex is good for jobs like financial services analysis and advanced document intelligence.
If you want a more complete solution, check out Abacus.AI. It's a platform that lets developers create and run AI agents and systems at scale, using generative AI methods. It's got a variety of products, including ChatLLM for building RAG systems and AI Agents for automating tasks, so it's a good option if you want to build more sophisticated AI systems.
Last, Freeplay is a lifecycle management tool for large language model product development. It automates experimentation, testing and optimization with features like prompt management and automated batch testing. Freeplay is good for enterprise teams that want to speed up development velocity and cut costs.