Tutorials

Toolkits for AI agents expose developers to various APIs to equip AI solutions with tools to carry out tasks and ensure accurate results for user satisfaction. However, integrating these tools into AI apps and managing them can be messy. This article introduces you to an industry standard of providing context to LLMs and agents using

Python offers various packages and frameworks for building interactive, production-ready AI app interfaces, including chat UIs. This article details the top platforms. AI Chat UIs: Overview AI Chat UIs: Overview Chat UIs for AI applications provide the front-end interface to interact with AI assistants, local, and cloud-based large language models (LLMs), and agentic workflows. Like

Almost 30% of internet users watch a livestream each week. If you are ever one of those 30%, you’ll notice the constant stream of video and chat going on from the sometimes thousands of viewers, all wanting to be a part of the experience. And some choose to be a bad part of that experience.

From gaming to messaging and video conferencing, real-time communication is at the forefront of most apps. WebRTC and WebSockets are among the standout real-time technologies today. They enable instant, two-way information exchange to facilitate online interactions and make communication more efficient. While they both offer powerful communication features, they have important differences. By understanding their

Note: This article assumes you have basic Node.js knowledge and are comfortable with environment variables. The code snippets in this article were run on a Windows OS. This GitHub repo contains all the files used in this article. Recently, applications or websites have been built with some form of chat. Whether it is through social

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