Tutorials

Chat applications have moved well beyond the basic IRC messaging they started as. With chat platforms such as Stream, you get access to a whole array of rich features: reactions, presence notifications, file uploads, and slash commands. These features change straightforward chat into meaningful real-time applications. But how do these work under the hood? By

Our aim today is straightforward. We learn how to integrate an AI assistant with Stream's Chat APIs and make it blazing fast, like Le Chat by Mistral AI, using the LLM inference platforms. After the February 2025 updates and improvements to Le Chat by Mistral, many developers and power users have compared its response speed

Deepseek is the latest LLM to hit the digital shelves. It boasts high-quality reasoning at a fraction of the cost of current state-of-the-art models, OpenAI o1 and o3-mini, and Gemini 2.0 Flash Thinking. DeepSeek R1 is open-source, which means two things. First, developers can examine the model's architecture, training process, and weights directly, enabling a

Hand gesture recognition has become increasingly important in computer vision and human-computer interaction. With the rise of video conferencing and virtual interactions, there's a growing need for intuitive ways to control our digital environments. In this tutorial, we'll explore building a hand gesture detection system using TensorFlow.js that can recognize various hand poses in real-time

Chat has become a necessary feature in most products. Businesses want to integrate quick, real-time communication to connect with their users. It can be for HR team management, hiring, onboarding, or within existing teams – but chat is almost everywhere. If you are a developer or product manager looking to integrate a chat API into

Python and TypeScript-based AI agent frameworks, CrewAI, LangChain, Agno, and Vercel AI SDK allow developers to build AI applications with multiple agents to act as Computer-Using Agents, or Deep Research Agents to automate browser tasks like clicking, scrolling, ordering products on the web and performing complex and multi-step tasks. These multi-AI agents may be put

JavaScript is the foundation of the modern web. Without it, you don’t have the rich interaction you expect from websites, like real-time updates, video, or chat. But JS brings a problem: bloat. Modern web apps often ship megabytes of JavaScript to the browser. This slows initial page load and hurts performance, especially for mobile devices.

Many people (especially developers) want to use the new DeepSeek R1 thinking model but are concerned about sending their data to DeepSeek. Read this article to learn how to use and run the DeepSeek R1 reasoning model locally and without the Internet or using a trusted hosting service. You run the model offline, so your