In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design […]
Category: Tutorials
5 Common LLM Parameters Explained with Examples
Large language models (LLMs) offer several parameters that let you fine-tune their behavior and control how they generate responses. If […]
How to Build, Train, and Compare Multiple Reinforcement Learning Agents in a Custom Trading Environment Using Stable-Baselines3
In this tutorial, we explore advanced applications of Stable-Baselines3 in reinforcement learning. We design a fully functional, custom trading environment, […]
How to Build a Fully Functional Computer-Use Agent that Thinks, Plans, and Executes Virtual Actions Using Local AI Models
In this tutorial, we build an advanced computer-use agent from scratch that can reason, plan, and perform virtual actions using […]
An Implementation on Building Advanced Multi-Endpoint Machine Learning APIs with LitServe: Batching, Streaming, Caching, and Local Inference
In this tutorial, we explore LitServe, a lightweight and powerful serving framework that allows us to deploy machine learning models […]
A Coding Guide to Build a Fully Functional Multi-Agent Marketplace Using uAgent
In this tutorial, we explore how to build a small yet functional multi-agent system using the uAgents framework. We set […]
How to Design a Fully Functional Enterprise AI Assistant with Retrieval Augmentation and Policy Guardrails Using Open Source AI Models
In this tutorial, we explore how we can build a compact yet powerful Enterprise AI assistant that runs effortlessly on […]
How I Built an Intelligent Multi-Agent Systems with AutoGen, LangChain, and Hugging Face to Demonstrate Practical Agentic AI Workflows
In this tutorial, we dive into the essence of Agentic AI by uniting LangChain, AutoGen, and Hugging Face into a […]
Meet LangChain’s DeepAgents Library and a Practical Example to See How DeepAgents Actually Work in Action
While a basic Large Language Model (LLM) agent—one that repeatedly calls external tools—is easy to create, these agents often struggle […]
An Implementation to Build Dynamic AI Systems with the Model Context Protocol (MCP) for Real-Time Resource and Tool Integration
In this tutorial, we explore the Advanced Model Context Protocol (MCP) and demonstrate how to use it to address one […]