If you're looking for a tool that gives you access to a variety of large language models, Parallel AI is definitely worth a look. It's got a variety of AI models, including GPT-4, Gemini, Claude 3 and Mistral, along with some proprietary features like Long-Term Memory and an AI Knowledge Base. The service lets you customize prompts, create virtual companies to train AI employees, and integrate with services like Slack and Google Docs. It has flexible pricing tiers, so it's good for individuals and businesses of all sizes.
Another option is TeamAI, which offers an AI workspace for teams to use large language models like GPT-4 and LLaMA. It offers centralized AI workspaces, shared libraries of prompts and custom plugins to create AI assistants. TeamAI is designed to automate workflows, generate ideas and streamline processes across different departments. You can try it for free to set up your AI workspace and get started with its abilities.
For developers who want to build their own AI apps, LLMStack is an open-source foundation that can use a variety of pre-trained language models from big companies. It includes a no-code builder for easy integration and supports vector databases and multi-tenancy for good data management. LLMStack can run in the cloud or on-premise, so it's a good choice for building chatbots, AI assistants and other apps.
Also worth a look is Kolank, which offers a single API and browser interface to query multiple LLMs without having to obtain separate access or pay separate fees. It offers smart routing to send queries to the most accurate models, and dynamic query routing to minimize latency. It's a good choice for developers who want to tap into multiple LLMs in their apps without the hassle of multiple LLMs and the expense and complexity that can bring.