Eden AI aims to simplify the use and deployment of AI technologies by providing a unique API that connects to all the best AI engines. With the rise o

GitHub - edenai/edenai-apis: Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines

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2023-01-23 10:30:07

Eden AI aims to simplify the use and deployment of AI technologies by providing a unique API that connects to all the best AI engines.

With the rise of AI as a Service , a lot of companies provide off-the-shelf trained models that you can access directly through an API. These companies are either the tech giants (Google, Microsoft , Amazon) or other smaller, more specialized companies, and there are hundreds of them. Some of the most known are : DeepL (translation), OpenAI (text and image analysis), AssemblyAI (speech analysis).

why aren't you regrouping Open Source models (instead of proprietary APIs) into one repo? : Because it doesn't make sens to deploy and maintain large pytorch (or other framework) AI models in every solution that wants AI capabilities (especially for document parsing, image and video moderation or speech recognition) . So using APIs makes way more sens. Deployed OpenSource models are being included using different APIs like HuggingFace and other equivalents.

To make call to different AI providers, first add the api-keys/secrets for the provider you will use in edenai_apis.api_keys.<provider_name>_settings_templates.json, then rename the file to <provider_name>_settings.json