EnergeticAI

EnergeticAI: Supercharge Your Node.js Apps with Open-Source AI

What is EnergeticAI?

EnergeticAI is an open-source library designed to bring the power of AI to your Node.js applications with unparalleled speed and efficiency. Built on top of TensorFlow.js, EnergeticAI is specifically optimized for serverless environments, addressing the common challenges of cold starts and module size.

How does EnergeticAI work?

EnergeticAI achieves its performance gains through several key optimizations:

• Optimized TensorFlow.js: It's built upon TensorFlow.js, but finely tuned for serverless environments.
• Fast Cold-Start: EnergeticAI significantly reduces cold-start times, a critical factor in serverless function performance.
• Small Module Size: By minimizing the module size, EnergeticAI ensures quicker deployments and reduced resource consumption.
• Pre-trained Models: Get started instantly with readily available pre-trained models for common AI tasks.

Key Features and Benefits:

• Up to 67x Faster: Experience significant speed improvements compared to standard TensorFlow.js implementations, especially in serverless functions.
• Pre-trained Embeddings: Utilize pre-trained English embeddings for building recommendation systems and semantic search applications.
• Text Classifiers: Classify text into various categories with minimal training examples.
• Business-Friendly Licensing: EnergeticAI is Apache 2.0 licensed, providing flexibility for commercial use.
• Easy Installation: Install EnergeticAI quickly using npm: npm install @energetic-ai/core.

Use Cases:

• Recommendation Systems: Generate product or content recommendations based on user preferences.
• Semantic Search: Implement search functionality that understands the meaning behind queries.
• Text Classification: Automatically categorize text data for various applications.

How to Get Started:

1. Installation: Install the core package using npm: npm install @energetic-ai/core
2. Import Modules: Import the necessary modules into your Node.js code.

import { initModel, distance } from "@energetic-ai/embeddings";
import { modelSource } from '@energetic-ai/model-embeddings-en';

(async () => {
  const model = await initModel(modelSource);
  const [hello, world] = await model.embed([
     "hello",
     "world"
  ]);
  console.log(distance(hello, world));
})();

Performance Benchmarks:

EnergeticAI demonstrates impressive performance in cold-start speed, warm-start speed, and module size compared to Tensorflow.js. This makes it especially suited for serverless environments where cold starts can impact application responsiveness. Inference speed in serverless functions is dominated by cold-start speed. The benchmark initializes the model and computes an embedding for a 5-sentence paragraph, on an M1 Max Macbook Pro.

Who is EnergeticAI for?

EnergeticAI is designed for Node.js developers who want to integrate AI capabilities into their applications without sacrificing performance or ease of use. It is particularly valuable for projects deployed in serverless environments.

Why is EnergeticAI important?

In serverless environments, cold starts can significantly impact the performance of AI-powered applications. EnergeticAI addresses this issue by optimizing TensorFlow.js for serverless functions, ensuring faster response times and a better user experience.

Learn More:

• Documentation: Refer to the official documentation for detailed information on using EnergeticAI.
• GitHub: Explore the source code and contribute to the project on GitHub.

EnergeticAI empowers developers to build intelligent applications with speed and efficiency. By addressing the challenges of cold starts and module size, EnergeticAI makes AI more accessible and practical for Node.js developers working in serverless environments.