Question: Can you recommend a platform that simplifies the deployment of large language models with minimal technical setup?

If you want a platform that makes it easy to deploy large language models with a minimum of technical setup, MonsterGPT is a good choice. It's got a chat interface for fine-tuning and deploying LLMs with minimal setup, good for things like code generation and sentiment analysis. It's got a job queue and error handling, too, and it uses the MonsterAPI platform for pre-hosted generative AI APIs.

Another good option is Predibase, which offers a low-cost, high-performance way to fine-tune and serve LLMs. You can fine-tune open-source models for specific tasks with techniques like quantization and low-rank adaptation. Predibase offers free serverless inference and enterprise-grade security, too, so it's a good option if you're worried about security and scalability.

If you want a low-code option, UBOS could be the way to go. This platform lets you build and deploy your own Generative AI apps directly in the browser, with features like one-click deployment, collaborative workspaces and integration with a wide variety of AI models. UBOS is designed for technical and nontechnical people, with a range of pricing options including a free Sandbox option.

Last, you could check out Keywords AI, a unified DevOps platform for building, deploying and monitoring AI applications. It's got a single API endpoint for multiple LLM models and can handle hundreds of concurrent calls without a latency penalty. Keywords AI is designed to simplify the entire lifecycle of AI software development so developers can focus on building products, not infrastructure.