If you're looking for a service that provides pre-trained language models you can use directly in your app, LLM Explorer is a great option. The service offers a large catalog of 35,809 open-source LLMs and SLMs, searchable by parameters like size, benchmark scores and memory usage. It offers categorized lists, benchmarks and analytics so you can compare models by attributes and abilities. The service is geared for AI enthusiasts, researchers and industry pros looking for a fast way to find and use the right language models for their needs, speeding up development and deployment.
Another powerful option is LLMStack, which lets developers create AI applications like generative AI apps, chatbots and agents using pre-trained language models from companies like OpenAI and Hugging Face. It can import data in many formats and offers a no-code builder to connect multiple LLMs to data and business processes without requiring programming skills. The service also offers vector databases for efficient data storage and multi-tenancy for managing multiple companies and user access.
If you want a single API to tap into more than 100 AI models, check out AIML API. The service offers serverless inference and a pay-as-you-go pricing model based on token usage, which can be a good option for cost-sensitive projects. It offers high scalability, reliability and quality, including support for OpenAI models and easy integration, so it's a good option for serious machine learning projects that need fast and reliable access to a wide range of AI models.
Last, Predibase is a service for fine-tuning and serving large language models in a cost-effective way. Customers can fine-tune open-source LLMs for their own tasks and get free serverless inference for up to 1 million tokens per day. The service supports a wide range of models and charges on a pay-as-you-go pricing model, so it's a good option for developers who want to add AI abilities to their apps.