AI 튜토리얼

Discover the importance of dimensionality reduction, its techniques, and how to apply them to image datasets while visualizing and comparing data in lower-dimensional spaces.

Learn how to simplify the creation of AI agents with Hugging Face's new Python library, smolagents, and follow along with a demo project to see it in action.

Learn what OpenAI's ChatGPT tasks are, how to use them, and discover 10 practical use cases to automate and schedule your actions.

Learn about NVIDIA’s 3D mesh-generating model, LLaMA-Mesh, including its capabilities, limitations, setup instructions, and examples.

Learn about Artificial Immune Systems (AIS) and how they can be implemented in Python for tasks like anomaly detection and optimization.

From binary to nuance: explore how fuzzy logic powers intelligent AI systems and mimics human decision-making behavior.

Learn how to build an image captioning app using Streamlit for the front end, Llama 3.2 90B for generating captions, and Groq as the API.

Learn how to fine-tune a multimodal model by Meta AI on the Amazon product dataset using the Unsloth framework.

Learn to use DeepEval to create Pytest-like relevance tests, evaluate LLM outputs with the G-eval metric, and benchmark Qwen 2.5 using MMLU.

Learn how to build an AI-powered code reviewer assistant using DeepSeek-V3 and Gradio.

Learn how to set up and run vLLM (Virtual Large Language Model) locally using Docker and in the cloud using Google Cloud.

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