Tutorials
Step-by-step AI tutorials
Build a Telegram Bot with DeepSeek-R1 Reasoning 🤖
Build a Telegram Bot with DeepSeek-R1 Reasoning 🤖 Introduction In this comprehensive guide, you'll learn how to create an advanced Telegram bot that utilizes AI-driven reasoning capabilities from DeepSeek-R1.
Build an AI-Powered Penetration Testing Assistant 🚀
Build an AI-Powered Penetration Testing Assistant 🚀 Table of Contents - Build an AI-Powered Penetration Testing Assistant 🚀build-an-ai-powered-penetration-testing-assistant - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Step 2: Core Implementation step-2-core-implementation - Load your dataset replace this with actual code to load datasetload-your-dataset-replace-this-with-actual-code-to-load-dataset - Split the dataset into training and testing setssplit-the-dataset-into-training-and-testing-sets - Define a simple neural network modeldefine-a-simple-neural-network-model - Compile the modelcompile-the-model - Train the modeltrain-the-model 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction In this tutorial, we will build a sophisticated penetration testing assistant powered by artificial intelligence.
Building a Voice Assistant with Whisper v4.1 + Llama 4 🎤🤖
Building a Voice Assistant with Whisper v4.1 + Llama 4 🎤🤖 Introduction In this comprehensive guide, we'll create an advanced voice assistant using Whisper v4.1 for speech recognition and Llama 4 for natural language understanding.
CI/CD for ML: GitHub Actions + DVC + MLflow 2.0 🚀
CI/CD for ML: GitHub Actions + DVC + MLflow 2.0 🚀 Table of Contents - CI/CD for ML: GitHub Actions + DVC + MLflow 2.0 🚀cicd-for-ml-github-actions--dvc--mlflow-20 - Introductionintroduction - Prerequisitesprerequisites - Step 1: Project Setupstep-1-project-setup - Step 2: Core Implementationstep-2-core-implementation - Load the dataset example with Boston housing dataload-the-dataset-example-with-boston-housing-data - Initialize MLFlowinitialize-mlflow - Start MLflow runstart-mlflow-run - Step 3: Configurationstep-3-configuration - Step 4: Running the Codestep-4-running-the-code 📺 Watch: Neural Networks Explained {{}} Video by 3Blue1Brown --- Introduction In this comprehensive guide, we'll explore how to set up a Continuous Integration and Continuous Deployment CI/CD pipeline for machine learning projects using GitHub Actions as the orchestrator, Data Version Control DVC for data management, and MLflow 2.0 for experiment tracking and model deployment.
Crafting Synthetic Radiology Reports with Multi-RADS Dataset and Evaluating Language Models 📝
Crafting Synthetic Radiology Reports with Multi-RADS Dataset and Evaluating Language Models 📝 Introduction In this comprehensive guide, we will delve into creating a synthetic radiology dataset using the Multi-RADS framework, which significantly aids researchers and medical professionals by providing annotated radiological data.
Deploy Ollama and Run Llama 4 or Qwen 3 Locally 🚀
Deploy Ollama and Run Llama 4 or Qwen 3 Locally 🚀 Introduction In this comprehensive guide, we'll walk through setting up a local environment to deploy Ollama and run either Llama 4 or Qwen 3 models.
Mastering Claude Code Setup 🚀
Mastering Claude Code Setup 🚀 Introduction In today's data-driven world, building a robust machine learning pipeline is essential for any software engineer.
📄 Automate PDF Data Extraction with Large Language Models (LLMs) in 2026 🤖
📄 Automate PDF Data Extraction with Large Language Models LLMs in 2026 🤖 Introduction In the current landscape of document management, extracting data from Portable Document Format PDF files has remained a laborious task.
🗣️ Build a Voice Assistant with Whisper & Mistral AI in 2026
🗣️ Build a Voice Assistant with Whisper & Mistral AI in 2026 Introduction In this comprehensive tutorial, we will build a state-of-the-art voice assistant using the latest advancements in speech-to-text and text-to-speech technologies.
🌟 Building a Multimodal Image Captioning System with Vision-Language Models 📸📝
🌟 Building a Multimodal Image Captioning System with Vision-Language Models 📸📝 Introduction In this comprehensive guide, we'll develop an advanced image caption generator using multimodal vision-language models.
🚀 Deploy an ML Model on Hugging Face Spaces in 10 Minutes!
🚀 Deploy an ML Model on Hugging Face Spaces in 10 Minutes! Hey there, data nerd! 🤓 Ever felt like your machine learning models are hiding away in your local machine, waiting for their big moment?
🖌️ Generate Images with Stable Diffusion XL on Mac M1/M2 (January 2026)
🖌️ Generate Images with Stable Diffusion XL on Mac M1/M2 January 2026 Introduction In this comprehensive tutorial, we'll guide you through setting up and using Stable Diffusion XL, a powerful text-to-image model from CompVis, on your Mac M1 or M2 device.
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