If you're looking for a cloud-based service that works with mainstream AI models and supports prompt engineering for chatbots, PROMPTMETHEUS is a strong contender. The all-purpose tool lets you author, test, optimize and deploy one-shot prompts to more than 80 Large Language Models (LLMs) from companies including Anthropic, Cohere, OpenAI and Google AI. It comes with a large prompt toolbox, performance testing and deployment to custom endpoints, so you can easily integrate with services like Notion, Zapier and Airtable.
Another strong contender is OctiAI, which focuses on generating AI prompts for image and text-based tasks. It supports multiple AI models, including ChatGPT, Mid Journey and others, and has features like prompt optimization, fast generation and a community for AI collaboration. That makes it a good option for businesses and professionals who want to improve AI tool productivity and lower costs.
For those who want to build and optimize generative AI applications, Klu is a full-featured platform. It lets you collaborate on prompts, automate prompt engineering and monitor performance across LLMs like GPT-4, Llama 2 and Mistral. Klu's features include version control, rapid iteration and built-in analytics, so it's a good fit for AI engineers and teams who want to get more out of their workflow.
Last, TeamAI offers an AI workspace for teams to work with different large language models. It offers centralized AI workspaces, shared libraries of prompts and plugins you can customize to build AI assistants. TeamAI is geared for teams in HR, Ops, Design, Marketing and Sales who want to automate workflows and get more out of AI.