Tutorials
Step-by-step AI tutorials
How to Run Large Language Models Locally with Ollama
Practical tutorial: It introduces a new way to run large language models locally, which is useful for developers and researchers.
How to Build a Claude 3.5 Artifact Generator with Python
Practical tutorial: Build a Claude 3.5 artifact generator
How to Build a Production ML API with FastAPI and Modal 2026
Practical tutorial: Build a production ML API with FastAPI + Modal
How to Build a Telegram Bot with DeepSeek-R1 Reasoning
Practical tutorial: Build a Telegram bot with DeepSeek-R1 reasoning
How to Build an AI-Powered Pentesting Assistant with Python and TensorFlow 2026
Practical tutorial: Build an AI-powered pentesting assistant
How to Deploy an ML Model on Hugging Face Spaces with GPU 2026
Practical tutorial: Deploy an ML model on Hugging Face Spaces with GPU
How to Implement Advanced Model Monitoring with MLflow and TensorBoard in 2026
Practical tutorial: It provides a detailed guide on an important aspect of AI model development, which is useful for practitioners and resea
How to Implement AI-Powered Phishing Detection with TensorFlow 2.x
Practical tutorial: It discusses an important aspect of AI technology and its application in cybersecurity.
How to Implement Claude 4.7 with Qwen3.5-27B-GGUF
Practical tutorial: Claude Opus 4.7 represents an interesting update to an existing AI model, likely with new features or improvements.
How to Implement Fairness Metrics with TensorFlow 2.x
Practical tutorial: It discusses an important concept in AI ethics and practical implementation.
How to Build a Telegram Bot with DeepSeek-R1 Reasoning
Practical tutorial: Build a Telegram bot with DeepSeek-R1 reasoning
How to Build an Autonomous AI Agent with CrewAI and DeepSeek-V3
Practical tutorial: Build an autonomous AI agent with CrewAI and DeepSeek-V3
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