Question: Can you recommend a tool that helps non-technical users fine-tune GPT models for specific use cases?

If you're looking for a tool to help non-technical people fine-tune GPT models for a particular job, Prompteasy is a good option. The tool offers a simple interface that requires no programming skills and can fine-tune GPT models in less than 10 minutes. People can upload context information, chat with the AI to explain what they need, then download the resulting data set to train the model. It can be used for a range of tasks, including creating math problems, sentiment analysis and creating custom content, and it's free with no credit card required.

Another option is Predibase, a developer-focused service that's accessible to non-technical people, too. It can be used to fine-tune open-source LLMs for classification, information extraction and code generation. The service offers low-cost serving infrastructure, free serverless inference and enterprise-level security, which can be useful for people who need to run models in production. With support for multiple models and a pay-as-you-go pricing model, it's flexible for different use cases.

If you prefer a chat interface, MonsterGPT is another option. The tool lets you fine tune and deploy LLMs for tasks like code generation, sentiment analysis and classification with text prompts. It also lets you manage jobs and test deployed models by sending prompts. MonsterGPT charges a subscription fee, so it's good for people who need to fine tune and deploy models frequently.

Last, Prem is an AI platform that offers a simple development environment to fine tune LLMs. It offers data sovereignty and independence, so companies can keep sensitive data in-house. Prem takes care of heavy lifting like prompt engineering and model deployment, so it's accessible even to people without deep AI expertise. It also comes with a library of open-source SLMs, so it's good for a wide range of business use cases.