I have been using many Vercel products in my web projects - for example, their Next.js app framework, deployment infrastructure and Vercel AI SDK. I love these tools because are easy to use and onboard, they are reliable and fast - and most of them are open source, which is fantastic ❤️. Their latest innovation is v0.dev, an AI-powered tool that helps you build frontend applications using a conversational chat interface.
In this post, we will compare the most popular AI tools (frontier models and AI assistants) based on its capabilities, limitations and my personal experience of using them day-to-day. In order to accomodate the multiple dimensions of each model, this comparison is represented as mind maps in three parts: Language models - the most popular text-based models that are used for text-to-text content generation. AI assistants - the chatbots that are powered by one or more of the above models.
This is the second part of my blog series on browser extensions. Here, we’ll delve into advanced concepts including TypeScript integration, service workers, and programmatic script injection. For a solid foundation, I recommend reading Browser Extensions: Part 1 - Introduction before tackling these more complex topics. How to use TypeScript in browser extensions By default, browser extensions use JavaScript as the programming language in the content scripts. However, TypeScript is more type safe and reliable to write the business logic.
Imagine a world where every website adapts to your specific needs in real-time, securely and easily, without selling your data to third party companies. It will be cool, right? Yes and it is possible - thanks to Browser extensions. In this post, we will learn about browser extensions - what they are, why you should build them and how to build them. We will conclude by looking at a few issues that come up frequently while building an extension and how to troubleshoot them.
Nine months ago, I started the Reimagine Journey to shift my career from engineering leadership to hands-on technology, specifically focusing on my health, personal growth and advanced tech skills. The long extended leave gave me the time and space to reflect on what I truly love and shape the next chapter of my career. It gave me the opportunity to determine how I want to live the rest of my life.
Last week, I watched an interview of Aravind Srinivas, the CEO of Perplexity AI (https://www.perplexity.ai). It is a three-hour interview done by Lex Fridman where Aravind talked about the major breakthroughs in AI that brought us to LLMs, the mission of Perplexity, how the technology works, his vision of the future of search and web in general, and some valuable advice for startup founders and young people. Fascinating interview - highly recommended for everyone to watch.
Perplexity AI (https://www.perplexity.ai) has been gaining attention in the world of chatbots and large language models. I had heard about it in a few forums and mentioned by industry leaders like Jensen Huang and Kelsey Hightower. In fact, I had created an account and tried it out a few times earlier this year, but didn’t take it much seriously. All that changed last week when I watched this recent interview of Perplexity CEO Aravind Srinivas by Lex Fridman.
The standout feature unveiled at this week’s Apple WWDC 2024 event was Apple Intelligence, a personal intelligence system that will be integrated into multiple platforms - iOS 18, iPadOS 18 and macOS Sequoia. What is Apple Intelligence? Apple Intelligence comprises of multiple highly-capable and efficient generative models - large language models and diffusion models. These models include on-device models as well as server-based foundation models. The foundation models are trained on Apple’s open-source AXLearn library for deep learning, built on top of JAX (Python library for accelerated computing and transformation) and XLA (Accelerated Linear Algebra, an open-source ML compiler).
A few months ago, Next.js introduced App Router, a new way to build React applications using the latest features like React Server components and streaming. This was included in Next.js version 13 and is meant to replace the Pages Router eventually. I have been using the App Router for all my builder projects for a while now. In fact, I usually kicked off projects with the standard create-next-app script that starts a new app from scratch.
It’s been a few months since OpenAI announced GPT-4 Turbo with Vision a model capable of understanding images and answering questions based on visual input. Recently, I decided to leverage this in a real app and got valuable insights. This post is a quick summary of my learnings from that experience. We’ll explore how to use the model through ChatGPT and the Open AI API so that you can can integrate it into any application.