If you're looking for something other than Awan LLM, Predibase is another good option. It lets developers train and serve large language models at relatively low cost. With features like free serverless inference for up to 1 million tokens per day, enterprise-grade security and support for a variety of models including Llama-2, Predibase charges on a pay-as-you-go basis. That makes it a good choice for a variety of tasks, from classification to code generation.
Another option is MindStudio, a no-code AI application development platform. It lets people build custom AI tools and assistants without writing any code. With integrations with various data sources, API access and unified billing, MindStudio lets you build your own AI assistants at a relatively low cost. Tiered pricing plans, including a free tier, mean it's available for different needs and budgets.
If you want a platform that's geared for data management and LLM fine-tuning, Airtrain AI is an option. It includes an LLM Playground for trying out different models, a Dataset Explorer for visualizing and clustering data, and AI Scoring for evaluating models. Three pricing tiers, including a free Starter plan, are designed to help make LLMs more accessible and economical for data teams.
Last, Lamini is an enterprise-grade platform for training, managing and deploying LLMs. It can handle high-accuracy model training, deployment to different environments and high-throughput inference. The company offers a free tier and a custom enterprise tier, so it's good for small teams and large-scale deployments.