Question: I'm looking for a simple API to deploy language models into my project, do you know of any options?

If you want to run language models in your own project, Keywords AI is a good choice. It offers a unified DevOps platform for building, deploying and monitoring AI applications based on large language models (LLMs). The service can handle multiple LLM models with a single API endpoint, and it can handle a high level of concurrency without suffering from performance problems. It can be integrated with OpenAI APIs, has a lot of control over prompts, and comes with preconfigured dashboards for monitoring performance and collecting data.

Another powerful option is Replicate, which makes it easy to run and scale open-source machine learning models. It comes with a library of pre-trained production-ready models and lets you deploy models with automated scaling. Replicate also offers a one-line deployment option and pay-as-you-go pricing, making it a good option for a variety of AI tasks like text and image generation.

If you're looking for something a bit more specialized, Replicate Meta Llama 3 offers a service to tap into powerful language models like Meta Llama 3 through a relatively simple API. It's geared for developers who want to add serious AI abilities to their projects without the hassle of figuring out how to set up their own infrastructure.

Another option is Chariot, which lets you add natural language abilities to new or existing projects. It supports GPT-3.5 and GPT-4, with features for handling conversations, generating text embeddings and processing documents. Chariot also offers SDKs for Node.js, Python and .NET to integrate with your apps.