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EnergeticAI

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EnergeticAI: The hassle-free solution for building privacy-friendly AI apps. Deploy with ease using `npm install`. Perfect for serverless environments with quick cold-start and compact bundle size.

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What is EnergeticAI?

EnergeticAI is a version of TensorFlow.js designed specifically for serverless functions. It provides several advantages such as quick cold-start, compact module size, and pre-trained models. These features make it perfect for seamlessly integrating open-source AI into your Node.js applications.

Information

Financing
$1.20B
Revenue
$169.40M
Language
English
Price
Free

Pros VS Cons

Pros
EnergeticAI offers optimized serverless functions, fast cold-start times, small module sizes, access to pre-trained models, quick installation, scalability with business licensing, and various text-based applications with improved performance benchmarks.
Cons
However, it has limitations such as no support for non Node.js applications, no offline working capability, limited pre-trained models, and a dependency on specific hardware setup, as well as restrictions on custom models and certain dependencies.

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Website traffic

  • Monthly visits
    784
  • Avg visit duration
    00:03:01
  • Bounce rate
    55.92%
  • Unique users
    --
  • Total pages views
    2.81K

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Traffic source

EnergeticAI FQA

  • What are the features of EnergeticAI?icon plus
  • How can I install EnergeticAI?icon plus
  • What are the available models and libraries in EnergeticAI?icon plus
  • How does EnergeticAI perform compared to Tensorflow.js?icon plus
  • What is the licensing of EnergeticAI?icon plus

EnergeticAI Use Cases

Use open-source AI in your Node.js apps, up to 67x faster.

EnergeticAI is TensorFlow.js, optimized for serverless environments, with fast cold-start, small module size, and pre-trained models.

Install in seconds, and scale with business-friendly licensing.

Pre-trained embeddings for recommendations and more.

Hit the ground running with pre-trained models.

Build recommendations and more with sentence embeddings.

Classify text into categories with just a few training examples.

Provide answers based on meaning with question-answering models.

EnergeticAI maximizes cold-start performance while minimizing module size.

Cold-Start Speed

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