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⇱ Generative AI in JavaScript - International JavaScript Conference

Generative AI in JavaScript

Push Your JavaScript Apps to the Next Level with GenAI and Cutting-Edge Web Innovation.

Transform your JavaScript projects with Generative AI using TensorFlow.js and Large Language Models (LLMs). Create smarter, AI-powered applications, automate workflows, and optimize user experiences. Learn to address ethical challenges while staying ahead in AI-driven web development.

Generative AI in JavaScript

Learn from Industry Leaders:

  • AI Tools and Frameworks: Leverage advanced frameworks like TensorFlow.js and AI.js to embed sophisticated AI capabilities into JavaScript projects and web applications.
  • Large Language Models (LLMs): Enhance user interactions and create adaptive applications using LLMs, which deliver intelligent and context-aware responses.
  • Prompt Engineering: Master the art of crafting prompts to optimize AI behavior, ensuring high-quality and relevant outputs.
  • AI-Driven Productivity: Streamline repetitive coding tasks and automate processes to boost developer efficiency and innovation.
  • Machine Learning in JS Applications: Build smart applications with predictive models and adaptive features through JavaScript-based machine learning.
This new track is part of the iJS Conference. Speaker and session details will be announced soon. Subscribe to our newsletter for updates.

Track Speakers London 2026

Track Speakers San Diego 2026

Track Speakers New York 2026

Track Speakers Munich 2026

Track Speakers Singapore 2024

Track Program Singapore 2024

Track Program London 2026

Track Program Munich 2026

Track Program New York 2026

Track Program San Diego 2026

Track Sessions London 2026

Track Sessions London 2026

Track Sessions San Diego 2025

Track Sessions San Diego 2025

Track Sessions New York 2026

Track Sessions New York 2026

Track Sessions Munich 2026

Track Sessions Munich 2026

🔍 Frequently Asked Questions (FAQ)

1. What is the “Generative AI in JavaScript” track about?

The "Generative AI in JavaScript" track empowers developers to transform JavaScript projects by integrating Generative AI using frameworks like TensorFlow.js and Large Language Models (LLMs). Attendees will learn to build smarter, AI‑powered applications, automate workflows, and elevate user experiences while navigating ethical development.

2. Which AI tools and frameworks are featured in this track?

This track highlights advanced tools such as TensorFlow.js and AI.js, enabling participants to embed sophisticated AI capabilities directly within JavaScript applications.

3. What role do Large Language Models (LLMs) play in this track?

LLMs are leveraged to enhance user interactions and deliver context-aware, intelligent responses, enabling developers to create more adaptive and dynamic JavaScript applications

4. What skills related to prompt engineering are covered?

Attendees will master prompt engineering—learning the craft of writing effective prompts to optimize AI behavior and generate high-quality, relevant outputs from LLMs.

5. How does this track support developer productivity and machine learning in JavaScript?

The track aims to boost developer efficiency through AI‑driven productivity techniques, like automating repetitive tasks, and supports embedding machine learning capabilities in JavaScript applications for smarter, adaptive behaviors.

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