In this tutorial, we aim to understand how LangGraph enables us to manage conversation flows in a structured manner, while […]
Category: Tutorials
A Coding Guide to Building a Brain-Inspired Hierarchical Reasoning AI Agent with Hugging Face Models
In this tutorial, we set out to recreate the spirit of the Hierarchical Reasoning Model (HRM) using a free Hugging […]
Building and Optimizing Intelligent Machine Learning Pipelines with TPOT for Complete Automation and Performance Enhancement
We begin this tutorial to demonstrate how to harness TPOT to automate and optimize machine learning pipelines practically. By working […]
How to Build a Multi-Round Deep Research Agent with Gemini, DuckDuckGo API, and Automated Reporting?
We begin this tutorial by designing a modular deep research system that runs directly on Google Colab. We configure Gemini […]
A Coding Implementation of an Advanced Tool-Using AI Agent with Semantic Kernel and Gemini
In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we […]
Building a Reliable End-to-End Machine Learning Pipeline Using MLE-Agent and Ollama Locally
We begin this tutorial by showing how we can combine MLE-Agent with Ollama to create a fully local, API-free machine […]
How to Implement the LLM Arena-as-a-Judge Approach to Evaluate Large Language Model Outputs
In this tutorial, we will explore how to implement the LLM Arena-as-a-Judge approach to evaluate large language model outputs. Instead […]
A Coding Guide to Build Flexible Multi-Model Workflows in GluonTS with Synthetic Data, Evaluation, and Advanced Visualizations
In this tutorial, we explore GluonTS from a practical perspective, where we generate complex synthetic datasets, prepare them, and apply […]
A Full Code Implementation to Design a Graph-Structured AI Agent with Gemini for Task Planning, Retrieval, Computation, and Self-Critique
In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. […]
JSON Prompting for LLMs: A Practical Guide with Python Coding Examples
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts […]