Generative AI Tutorials

Learn how to edit images using Gemini 2.0 Flash with practical examples and understand its strengths and limitations.

Learn how to use Vercel's v0 to generate UI components and web applications from natural language prompts, and how to integrate and deploy them.

This guide shows you how to build a question-answering AI app, serve it locally, and deploy it on BentoCloud—all with just a few lines of Python.

Learn how to build a homework checker using Microsoft's Phi-4 model, which validates solutions, provides detailed corrections, and suggests elegant alternatives.

Learn how to streamline your LLM evaluations with MLflow. This guide covers MLflow setup, logging metrics, tracking experiment versions, and comparing models to make informed decisions for optimized LLM performance!

Learn how to install Cursor AI on Windows, macOS, and Linux, and discover how to use it through 10 different use cases.

Learn the foundational principles, applications, and practical benefits of variational autoencoders and follow a step-by-step implementation with PyTorch.

Learn how to set up PyTorch’s torchchat locally with Python in this hands-on tutorial, which provides step-by-step guidance and examples.

Learn about Microsoft’s Phi-3 language model, including its architecture, features, applications, installation, setup, integration, optimization, and fine-tuning.