Imagine EnergeticAI as TensorFlow.js, but perfectly tuned for serverless functions. It gives you really fast cold-start times, keeps module sizes small, and comes with models you c..
Imagine EnergeticAI as TensorFlow.js, but perfectly tuned for serverless functions. It gives you really fast cold-start times, keeps module sizes small, and comes with models you can use right away, making it super easy to integrate open-source AI into your Node.js applications.
How to use
To get EnergeticAI up and running in your Node.js applications, just follow these steps: 1. Install EnergeticAI with NPM: `npm install @energetic-ai/core`. 2. Then, use the API to include and set up the model you need. 3. Finally, you can make the most of pre-trained models, like ones for embeddings, classifiers, or semantic search, which are all ready to be customized for what you're doing.
Useful cases
It can help you answer questions by semantically understanding them with QA models. You can also use it to categorize text even if you only have a few training examples, and to develop recommendations by leveraging sentence embeddings.
Core features
It comes with pre-trained models and is built specifically for cloud functions. It boasts a compact module size, supports semantic search, embeddings, and classifiers, and delivers quick cold-start capabilities.
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