In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. […]
Category: Tutorials
How to Build an Adaptive Meta-Reasoning Agent That Dynamically Chooses Between Fast, Deep, and Tool-Based Thinking Strategies
We begin this tutorial by building a meta-reasoning agent that decides how to think before it thinks. Instead of applying […]
How to Design a Fully Local Multi-Agent Orchestration System Using TinyLlama for Intelligent Task Decomposition and Autonomous Collaboration
In this tutorial, we explore how we can orchestrate a team of specialized AI agents locally using an efficient manager-agent […]
How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving
In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. […]
How We Learn Step-Level Rewards from Preferences to Solve Sparse-Reward Environments Using Online Process Reward Learning
In this tutorial, we explore Online Process Reward Learning (OPRL) and demonstrate how we can learn dense, step-level reward signals […]
How to Design an Advanced Multi-Page Interactive Analytics Dashboard with Dynamic Filtering, Live KPIs, and Rich Visual Exploration Using Panel
In this tutorial, we build an advanced multi-page interactive dashboard using Panel. Through each component of implementation, we explore how […]
A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows
In this tutorial, we build an advanced Agentic AI using the control-plane design pattern, and we walk through each component […]
A Coding Implementation for an Agentic AI Framework that Performs Literature Analysis, Hypothesis Generation, Experimental Planning, Simulation, and Scientific Reporting
In this tutorial, we build a complete scientific discovery agent step by step and experience how each component works together […]
How to Implement Functional Components of Transformer and Mini-GPT Model from Scratch Using Tinygrad to Understand Deep Learning Internals
In this tutorial, we explore how to build neural networks from scratch using Tinygrad while remaining fully hands-on with tensors, […]
How to Build a Neuro-Symbolic Hybrid Agent that Combines Logical Planning with Neural Perception for Robust Autonomous Decision-Making
In this tutorial, we demonstrate how to combine the strengths of symbolic reasoning with neural learning to build a powerful […]