Question: I'm looking for a no-code solution that allows me to compare and deploy different large language models for a specific project, can you help?

If you want a no-code way to compare and deploy different large language models, Contentable is worth a look. It lets you compare, test, build and deploy low-code AI models from big players like Open AI and Google. It offers side-by-side model comparison, real-time collaboration and graphical workflow design with no programming. Contentable also has a pay-as-you-go pricing model, so you can try it with a $5 free credit.

Another strong contender is Lamini, an enterprise-focused LLM platform geared for software teams. You can create, manage and deploy your own LLMs on your own data, with options like memory tuning for best results and deployment to different environments. Lamini manages the full model lifecycle from comparison to deployment, and offers both free and custom enterprise pricing tiers.

If you want a broader library of models, check out LLM Explorer. The service has more than 35,000 open-source LLMs and SLMs, filtered by attributes like parameter size and benchmark scores. You can compare models based on their attributes and abilities, which makes it easier to find the right model for your project. It's geared for AI enthusiasts, researchers and industry pros looking to accelerate development and deployment.

Last, Replicate offers an API-based service to run and scale open-source machine learning models, including language models. It's got a simple interface, automatic scaling and one-line deployment for tasks like text and speech generation. It's pay-as-you-go pricing means it's flexible and economical for developers who want to add AI abilities without the hassle of complex deployments.