Machine Learning in Node.js using Tensorflow.js

Explore the new frontier of battle-tested backends. A two-day conference on all things Node.js, gathering Back-end and Full-stack engineers across the globe in the cloud is here to help you staying up-to-date on the latest Node.js tech.

Node Congress

I’m attending @NodeCongress, the biggest conf on #JavaScript backends – by clicking the badge you may get a free remote ticket & join me there with 5k other #nodejs devs & 35 great speakers #deno #cloudflare #awscloud

Node Congress 2021

Shivay Lamba

Using MediaPipe to Create Cross Platform Machine Learning Applications with React

Get ready for an annual deep dive into the latest trends in React and Web development. Learn from engineers behind the framework ecosystem and early adopters at the main React Conference in the UK.The concept of the event is both about covering all you need to catch up on in the React ecosystem, combined with deep technical exploration of the latest architectural trends, new feature adoption, and efficient ways to solve complex problems.Engage in discussion rooms, hallway track with experts, hands-on practical workshops, and tens of insightful talks. Engineers of any level are welcome but be prepared for hardcore.

React Advanced

React Advanced 2021

Predictive Testing in JavaScript with Machine Learning

TestJS Summit is getting back in 2023 in hybrid format with the first in-person day streamed from the Berlin venue including hybrid networking features and interactive entertainment; and second day, as well as the numerous free workshops, streamed to the global audience online.

TestJS Summit is event for QAs and software developers to get up to date with JS testing best practices, sharpen skills and get latest updates from top products core teams. Get a full ticket to participate in workshops, and network with others JS testing folks on December 7-11, 2023.

TestJS Summit

TestJS Summit 2021

High Performance Node.js Powered by Rust and WebAssembly 

Node Congress 2022

Machine Learning based Unit Tesing in JavaScript

TestJS Summit 2022

React Advanced 2022

Server-Side Rendering Using WebAssembly

Giving Superpowers to Your React Apps with Machine Learning

React Summit

I am attending the biggest #Reactjs conference remotely. You may get a limited free ticket (50% of talks, no workshops) and join me by clicking this badge.

#react #reactjs

React Summit 2023

React Day Berlin

React Day Berlin 2022

React Summit US

React Summit US 2023

Beyond JavaScript: Maximizing React With Web APIs

Leveraging LLMs to Build Intuitive AI Experiences With JavaScript

JS Nation

I’m attending JSNation – the main JavaScript conference of the year. You may join me there for free with 10k other JS engineers and 40+ great speakers. Just follow this badge. 

#javascript

JSNation 2024

Leveraging LLMs to Build Intuitive AI Experiences for Web

The contemporary software engineering and design festival. Code, Career, Connections. Imagine a playground for career advancement for developers, QAs and UX researchers, focusing on networking, groundbreaking tech ideas, and unique experiences. No matter your tech stack embrace this chance to connect with industry leaders, collaborate, and enhance your professional and leadership skills.

C3 Dev Festival

Join me at C3 Dev Fest, a contemporary software engineering festival!

Register to win an all-paid trip to Amsterdam. Elevate your career with industry experts and workshops & rock 3 dance stages at the after-party!

C3 Dev Festival 2024

React Day Berlin 2024

Today, most of the AI applications send data to LLM cloud providers like OpenAI, raising privacy concerns. This workshop an alternative and privacy focused way to build AI applications by running LLMs locally with Ollama that keep everything local on your computer. This approach allows to avoid sending sensitive information to external servers. The workshop also highlights LangChain's ability to create versatile AI agents capable of handling tasks autonomously by creating embeddings for the data. So come learn how can you build the next gen, privacy focused React application powered by Local LLMs. The workshop covers the following topics: 1.Overview of cloud-based LLMs privacy issues and the importance of running Local LLM inferencing. 2.Detailed insights into generating embeddings with tools like Ollama and demonstrating how LangChain agents can perform tasks such as document summarisation and API interactions, all while maintaining data privacy in a NextJS / React application. 3.Discovering practical use-cases for this approach.

Build Privacy focused React Applications with Ollama, NextJS/React and LangChainJS

Today every developer is using LLMs in different forms and shapes, from ChatGPT to code assistants like GitHub CoPilot. Following this, lots of products have introduced embedded AI capabilities, and in this workshop we will make LLMs understandable for web developers. And we'll get into coding your own AI-driven application. No prior experience in working with LLMs or machine learning is needed. Instead, we'll use web technologies such as JavaScript, React which you already know and love while also learning about some new libraries like OpenAI, Transformers.js

In this talk we'll break down key Generative AI concepts like Vector Search and Vector Embeddings and how can React Developers leverage them with technologies like LangChainJS to build intuitive AI powered apps. We will discuss different AI enabled search experiences like vector and hybrid search approaches, exploring how each method works, their advantages and disadvantages, and practical use cases. The talk will break down what can be overly complex concepts into practical takeaways for our everyday work as React/JavaScript developers. By the end of the session you'll have a better understanding of when and how to use different search techniques to optimize your user experience. Most importantly you will also learn how as a React developer we use can use these search techniques using open source tooling and libraries including some powerful search engines written in TS/JS and create AI powered applications in React.

Decoding Vector Search and Embeddings for React Developers

This lightning talk explores how you can enrich your React projects with Web APIs. From handling data to interacting with browser features, attendees will gain insights into leveraging the power of Web APIs for an enriched and efficient React development experience to highlight the out of the box capabilities offered by Browsers.

Have you ever questioned whether Javascript is a viable alternative to Python or R for creating machine learning models? After all, a 2019 survey by Stack Overflow found that Javascript is the language that developers use the most. Given that machine learning models like neural networks require a lot of computational power and that javascript was not intended for high-speed computing, this approach seems unreasonable. But hold on, this not entirely true, as javascript libraries like Onnx.js and Tensorflow.js are here to save the day! I'll be going into further detail on how to create intuitive and innovative machine learning applications with React in this talk.

This talk gives an introduction about MediaPipe which is an open source Machine Learning Solutions that allows running machine learning models on low powered devices and helps integrate the models with mobile applications. It gives these creative professionals a lot of dynamic tools and utilizes Machine learning in a really easy way to create powerful and intuitive applications without having much / no knowledge of machine learning beforehand. So we can see how MediaPipe can be integrated with React. Giving easy access to include machine learning use cases to build web applications with React.

The talk covers the current scenario of writing test cases in JavaScript and the problems associated with the time and resources spent by companies to write the test cases and the lack of automation in this area.Then the talk will cover how AI and machine learning is being leveraged by tools such as Github Copilot and Ponicode to autogenerate test cases thus simplifying the software testing process.

This talk shares how to achieve Server-side rendering using WebAssembly and WASMEdge which is a WebAssembly Runtime. The talk also covers the benefits of using WebAssembly to achieve Server Side Rendering. The talk will also cover a demo on how to launch a React application using the WasmEdge runtime.

In the post Moore’s Law era, due to limitations of the hardware, we need to squeeze more performance from the existing hardware. That means that the native code provides the best performance. However, the prevalence of native code on the server-side presents challenges to application safety and manageability. The rise and advent of Rust and WebAssembly offers new ways for developers to write high performance yet safe Node.js applications. In this talk, I will cover the basics of Rust and WebAssembly, as well showcase how to go about their integration with Node.js. You will learn how and when to design a hybrid web application. How can you code the high performance functions in Rust in a Web Assembly virtual machine and finally how to tie everything together in a Node.js JavaScript application. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

This talk will cover how we can apply machine learning to software testing including in Javascript, to help reduce the number of tests that need to be run.We can use predictive machine learning model to make an informed decision to rule out tests that are extremely unlikely to uncover an issue. This opens up a new, more efficient way of selecting tests. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

This talk gives an introduction about MediaPipe which is an open source Machine Learning Solutions that allows running machine learning models on low-powered devices and helps integrate the models with mobile applications. It gives these creative professionals a lot of dynamic tools and utilizes Machine learning in a really easy way to create powerful and intuitive applications without having much / no knowledge of machine learning beforehand. So we can see how MediaPipe can be integrated with React. Giving easy access to include machine learning use cases to build web applications with React.

Lightning Talks, Day 2, Node Congress

Write and deploy machine learning models easily in Nodejs using Tensorflow.js. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>