AI 튜토리얼

Learn how to create a simplified implementation of the RStar framework using a combination of neural networks, symbolic reasoning, and Monte Carlo Tree Search (MCTS).

Learn how to set up and run the Genesis Physics Engine on Google Colab, overcoming installation challenges and getting started with physics simulations.

Learn about Mistral's Codestral 25.01, including its capabilities, benchmarks, and how to set it up in VS Code for code assistance.

Learn about GitOps, its importance, various approaches, and how to integrate it into an AI project.

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.