MonsterGPT is a chat interface for fine-tuning and using large language models (LLMs). It can be used for tasks like code generation, sentiment analysis and classification. MonsterGPT lets you fine-tune LLMs with a few text prompts and then use them with or without LoRA adapters. The interface also suggests job management and error handling based on API responses, so it's a good tool for AI model development.
Another good option is Predibase. It's geared for developers who want to fine-tune and serve LLMs quickly and inexpensively. Predibase can be used for classification, information extraction and code generation. It offers free serverless inference for up to 1 million tokens per day and enterprise-grade security, so it's a good option for those who want to run AI models at large scale.
For a more collaborative approach, Humanloop offers a platform for managing and optimizing the development of LLM applications. It includes a collaborative prompt management system, an evaluation suite for debugging, and customization tools for fine-tuning models. It's good for teams that want to improve efficiency and collaboration when developing AI features.