Scribbler Articles on AI-ML

Stable Diffusion, a text-to-image AI model, generates high-quality images by iteratively transforming noise into visuals, with WebGPU enabling in-browser GPU acceleration for efficient and private local processing.

Use AI in Scribbler to code faster without paying a penny for models/subscription.

TensorFlow.js provides a powerful way to build and deploy machine learning models directly in the browser.

With WebLLM, you can bring AI to your web applications without needing a backend, making it a powerful tool for building private, responsive, and portable AI-powered solutions.

The article introduces XR with AI. It explores using FaceAPI library for emotion detection and XR with face detection.

In this article, we've implemented a simple reinforcement learning algorithm using Q-Learning in JavaScript with TensorFlow.js. While this is a basic example, it demonstrates the potential of using JavaScript for RL tasks, especially for web-based applications.

TensorFlow.js empowers web developers to harness the full potential of machine learning directly within the browser environment. With its support for both model training and inference, developers can create powerful AI-driven applications without the need for extensive backend infrastructure.

GPT-4, the model behind ChatGPT can be accessed in JavaScript through an API for making natural language applications.

Brain.js is a popular open-source JavaScript library for building neural networks useful for solving a wide range of problems.

Tensorflow.js is a powerful tool for doing maching learning in JavaScript.

Several text classification usecases can be easily implemented in JavaScript using a plathora of libraries.

Python has been the main language for machine learning but JavaScript is good alternative especially for decentralized machine learning.