intermediateTutorials

As AI continues to evolve, we’re constantly finding new ways how to improve and to use it. Today, AI has gone much further being just a chat tool. And one of these significant evolutionary steps is the creation and adoption of AI agents. With agents, you can deploy AI solutions that autonomously perform real-world tasks, for example: managing customer support, processing large amounts of information in real-time, and much more! Basically, any task that benefits from working with real-time data and reasoning capabilities. This series of articles will help you not only to grasp the fundamentals of AI agents, but also to get a practical experience of building one yourself. Covering crucial theoretical knowledge and concepts, as well as also learning how to properly apply them in the real world.

Learn about Replit Agent, an advanced AI-coding agent that’s capable of building apps from scratch. Through natural language interactions and real-time assistance, Replit Agent sets up environments, writes code, and deploys apps, all done within minutes.

Learn how to create your first Chrome extension with Replit Agent, an advanced AI-coding agent. This step-by-step guide teaches you how to go from an initial idea to a fully functional Chrome extension in minutes, regardless of skill level.

Today we often hear about incredible AI advancements that promise to make our lives easier. But besides developing and improving new AI models, we also find new ways to use them and utilize their full potential. One exciting feature of LLMs AI Retrieval-Augmented Generation, or RAG for short. This system connects real time data to the power of AI models. And knowing how RAG works really raises the ceiling of your expertise as an AI engineer. So, in this opening article let's make sure to cover all the core fundamental concepts. And in the upcoming articles we will build exciting applications to apply our knowledge in practice. Large language models (LLMs) generate text by predicting the most probable next word, but without access to real-time or domain-specific information, they produce errors, outdated answers, and hallucinations.

Learn how to use Zapier and ChatGPT to identify customer pain points from Reddit and automatically generate a report that summarizes and prioritizes key issues.