Question: I'm looking for a cloud-based platform to train and run large language models at an affordable price.

If you're looking for a cloud-based platform to train and run large language models on a budget, Together is a good option. It's got a competitive pricing model, with costs up to 117x lower than AWS and 4x lower than other suppliers. It supports a variety of models, including LLaMA-3 and Stable Diffusion XL, and has scalable inference to handle high traffic. It also has collaboration tools for fine-tuning models and managing API keys, which makes it a good option for companies that want to build private AI models into their products.

Another good option is Predibase. The service lets developers fine-tune and serve large language models with high performance and low costs. It supports a range of models, including Llama-2 and Mistral, and has a pay-as-you-go pricing model that factors in model size and the size of the training data. Predibase has some nice features, including free serverless inference for up to 1 million tokens per day, and enterprise-grade security. It's a good option for those who need flexibility and scalability.

Lamini is another good option, in particular for enterprise teams. It's a full-fledged platform for training, managing and deploying LLMs on your own data. Lamini supports high-throughput inference and offers a free tier with limited inference requests, so it's a good option for smaller teams. It also has features like memory tuning for high accuracy and deployment on air-gapped environments, which means you can keep your data private and still have flexibility.

If you want a flexible platform with lots of integration options, Anyscale is worth a look. It's based on the open-source Ray framework and supports a wide variety of AI models. It's got workload scheduling, cloud flexibility and smart instance management. Anyscale offers cost savings of up to 50% on spot instances and has native integrations with popular IDEs and persisted storage, making it a good option for large-scale AI workloads.