Tutorials
Step-by-step AI tutorials
Implementing microGPT with C89 Standard 🚀
Implementing microGPT with C89 Standard 🚀 Table of Contents - Implementing microGPT with C89 Standard 🚀implementing-microgpt-with-c89-standard - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Step 2: Core Implementation step-2-core-implementation - Step 3: Configuration & Optimizationstep-3-configuration--optimization - Step 4: Running the Codestep-4-running-the-code - Step 5: Advanced Tips Deep Divestep-5-advanced-tips-deep-dive - Results & Benchmarksresults--benchmarks - Going Furthergoing-further 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction In this comprehensive guide, we'll delve into the intricate process of implementing a lightweight version of GPT microGPT using the C89 standard.
Unleashing Gemini 3.1 Pro: A Deep Dive into Advanced AI Capabilities 🚀
Unleashing Gemini 3.1 Pro: A Deep Dive into Advanced AI Capabilities 🚀 Table of Contents - Unleashing Gemini 3.1 Pro: A Deep Dive into Advanced AI Capabilities 🚀unleashing-gemini-31-pro-a-deep-dive-into-advanced-ai-capabilities - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Step 2: Core Implementationstep-2-core-implementation - Step 3: Configuration & Optimizationstep-3-configuration--optimization - Step 1: Running the Codestep-1-running-the-code - Expected output:expected-output - > 100,100 - Step 2: Advanced Tips Deep Divestep-2-advanced-tips-deep-dive 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction In this tutorial, we will explore the advanced features and capabilities of Gemini 3.1 Pro, a advanced artificial intelligence model designed to handle complex tasks with unprecedented efficiency and accuracy.
📘 Exploring Student-LLM Chatbot Conversations and Their Educational Implications 📚
📘 Exploring Student-LLM Chatbot Conversations and Their Educational Implications 📚 Table of Contents - 📘 Exploring Student-LLM Chatbot Conversations and Their Educational Implications 📚exploring-student-llm-chatbot-conversations-and-their-educational-implications - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Load chatbot interaction data from CSV fileload-chatbot-interaction-data-from-csv-file - Display the first few rows of the dataframe to get an overviewdisplay-the-first-few-rows-of-the-dataframe-to-get-an-overview - Step 2: Core Implementation step-2-core-implementation - Example usage:example-usage - Step 3: Configuration & Optimizationstep-3-configuration--optimization - Assuming we have a column 'questiontype' in our dataframe indicating whether each is procedural or notassuming-we-have-a-column-questiontype-in-our-dataframe-indicating-whether-each-is-procedural-or-not 📺 Watch: Intro to Large Language Models {{}} Video by Andrej Karpathy --- Introduction In recent years, large language models LLMs have been increasingly integrated into educational technology to support student learning.
Automate Open-Source Repository Enhancement with Agentic AI 🚀
Automate Open-Source Repository Enhancement with Agentic AI 🚀 Table of Contents - Automate Open-Source Repository Enhancement with Agentic AI 🚀automate-open-source-repository-enhancement-with-agentic-ai - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Step 2: Core Implementation step-2-core-implementation - Set up GitHub API client with your personal access tokenset-up-github-api-client-with-your-personal-access-token - Step 3: Configuration & Optimizationstep-3-configuration--optimization - Example configuration: Custom labels based on issue content analysisexample-configuration-custom-labels-based-on-issue-content-analysis - Configuration options should be stored securely and accessed through environment variablesconfiguration-options-should-be-stored-securely-and-accessed-through-environment-variables - Step 4: Running the Codestep-4-running-the-code 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction In this tutorial, we will explore how to leverage agentic artificial intelligence AI to automatically enhance open-source repositories used in scientific and industrial applications.
Advanced AI Model Evaluation: In-Depth Analysis of Gemini 3.1 Pro 🚀
This tutorial provides a comprehensive guide to evaluating the Gemini 3.1 Pro AI model, covering setup with Python, Jupyter Notebook, TensorFlow, and Keras. It includes steps for project initialization, library imports, and loading the model for analysis.
Train AI Models with Unsloth and Hugging Face Jobs for Free 🚀
Train AI Models with Unsloth and Hugging Face Jobs for Free 🚀 Table of Contents - Train AI Models with Unsloth and Hugging Face Jobs for Free 🚀train-ai-models-with-unsloth-and-hugging-face-jobs-for-free - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Setting up Unsloth CLIsetting-up-unsloth-cli - Setting up Docker Environmentsetting-up-docker-environment - Step 2: Core Implementationstep-2-core-implementation - Main Training Scriptmain-training-script - Define the tokenizer and model to use.define-the-tokenizer-and-model-to-use - Load your dataset here e.g., from a CSV file.load-your-dataset-here-eg-from-a-csv-file 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction Training machine learning models can be expensive, especially when leveraging cloud resources.
Mastering AI Project Planning and Evaluation 🚀
Mastering AI Project Planning and Evaluation 🚀 Table of Contents - Mastering AI Project Planning and Evaluation 🚀mastering-ai-project-planning-and-evaluation - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Define Objectivesdefine-objectives - Understand the Problem Domainunderstand-the-problem-domain - Example: Setting up a virtual environment for Python projectsexample-setting-up-a-virtual-environment-for-python-projects - Step 2: Core Implementationstep-2-core-implementation - Design Architecturedesign-architecture - Select Algorithms and Modelsselect-algorithms-and-models 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction In the current technological landscape, artificial intelligence AI projects are becoming increasingly complex.
Implementing MiniMax-2.5 Algorithm for Game AI Development 🎮
Implementing MiniMax-2.5 Algorithm for Game AI Development 🎮 Table of Contents - Implementing MiniMax-2.5 Algorithm for Game AI Development 🎮implementing-minimax-25-algorithm-for-game-ai-development - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Install required Python packagesinstall-required-python-packages - Initialize the project directory structureinitialize-the-project-directory-structure - Create necessary files and directoriescreate-necessary-files-and-directories - Step 2: Core Implementationstep-2-core-implementation - Example usage in main.pyexample-usage-in-mainpy - Step 3: Configuration & Optimizationstep-3-configuration--optimization 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction In this comprehensive tutorial, we will delve into implementing the MiniMax-2.5 algorithm locally to enhance game AI development.
Enhancing Coding Skills in LLMs with a Novel Harness Method 🚀
Enhancing Coding Skills in LLMs with a Novel Harness Method 🚀 Table of Contents - Enhancing Coding Skills in LLMs with a Novel Harness Method 🚀enhancing-coding-skills-in-llms-with-a-novel-harness-method - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Step 2: Core Implementation step-2-core-implementation - Initialize an LLM and its tokenizer using a specific pre-trained model nameinitialize-an-llm-and-its-tokenizer-using-a-specific-pre-trained-model-name - Set up the harness mechanism to enhance coding skills in the LLMset-up-the-harness-mechanism-to-enhance-coding-skills-in-the-llm - Step 3: Configuration & Optimizationstep-3-configuration--optimization - Example of configuring the model with hyperparametersexample-of-configuring-the-model-with-hyperparameters - Fine-tune the model using the specialized dataset and configuration optionsfine-tune-the-model-using-the-specialized-dataset-and-configuration-options 📺 Watch: Intro to Large Language Models {{}} Video by Andrej Karpathy --- Introduction In recent years, large language models LLMs have become indispensable tools for natural language processing tasks.
Embracing AI in Daily Work: A Deep Dive into Integration and Optimization 🤖
Embracing AI in Daily Work: A Deep Dive into Integration and Optimization 🤖 Introduction In the current technological landscape, artificial intelligence AI has become an indispensable tool for professionals across various fields.
Exploring Claude Opus 4.6 🚀
Exploring Claude Opus 4.6 🚀 Introduction In this tutorial, we will explore the features and performance of Claude Opus 4.6, a advanced AI language model developed by Anthropic.
Exploring GPT-5.3-Codex 🚀
Exploring GPT-5.3-Codex 🚀 Introduction GPT-5.3-Codex is a innovative development in AI language models, designed to excel in both natural language processing and code generation tasks.
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