In this tutorial, we code a mini reinforcement learning setup in which a multi-agent system learns to navigate a grid […]
Category: Tutorials
An Implementation of Fully Traced and Evaluated Local LLM Pipeline Using Opik for Transparent, Measurable, and Reproducible AI Workflows
In this tutorial, we implement a complete workflow for building, tracing, and evaluating an LLM pipeline using Opik. We structure […]
How to Build a Fully Offline Multi-Tool Reasoning Agent with Dynamic Planning, Error Recovery, and Intelligent Function Routing
In this tutorial, we explore how to build a fully offline, multi-step reasoning agent that uses the Instructor library to […]
A Coding Implementation to Build Neural Memory Agents with Differentiable Memory, Meta-Learning, and Experience Replay for Continual Adaptation in Dynamic Environments
In this tutorial, we explore how neural memory agents can learn continuously without forgetting past experiences. We design a memory-augmented […]
AI Interview Series #1: Explain Some LLM Text Generation Strategies Used in LLMs
Every time you prompt an LLM, it doesn’t generate a complete answer all at once — it builds the response […]
How to Build an Agentic Voice AI Assistant that Understands, Reasons, Plans, and Responds through Autonomous Multi-Step Intelligence
In this tutorial, we explore how to build an Agentic Voice AI Assistant capable of understanding, reasoning, and responding through […]
How to Build an Advanced Multi-Page Reflex Web Application with Real-Time Database, Dynamic State Management, and Reactive UI
In this tutorial, we build an advanced Reflex web application entirely in Python that runs seamlessly inside Colab. We design […]
Build a Multi-Agent System for Integrated Transcriptomic, Proteomic, and Metabolomic Data Interpretation with Pathway Reasoning
In this tutorial, we build an advanced multi-agent pipeline that interprets integrated omics data, including transcriptomics, proteomics, and metabolomics, to […]
Build an Autonomous Wet-Lab Protocol Planner and Validator Using Salesforce CodeGen for Agentic Experiment Design and Safety Optimization
In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design […]
How to Build a Model-Native Agent That Learns Internal Planning, Memory, and Multi-Tool Reasoning Through End-to-End Reinforcement Learning
In this tutorial, we explore how an agent can internalize planning, memory, and tool use within a single neural model […]