How I built a smart travel app using the Gradient Platform
Learn how to build AI-powered applictions, as I show you in this tutorial, how I built a full-stack travel app using the Gradient platform
How to Use MCP with OpenAI Agents
Learn how to use the Model Context Protocol with OpenAI Agents to increase tool integration, streamline workflows, and build capable AI systems.
Step-by-Step Guide to Installing CUDA and cuDNN for GPU Acceleration
Learn how to install CUDA and cuDNN on your GPU for deep learning and AI applications. Follow this comprehensive guide to set up GPU acceleration for TensorFlow, PyTorch, and more.
How to Use JSON for Fine-Tuning Machine Learning Models
Explore how JSON structure can fine-tune machine learning models. Learn how to structure JSON files and integrate them with Python.
LLaMA 2: a model overview and demo tutorial in Jupyter Notebooks
This tutorial shows how the LLaMA 2 model has improved upon the previous version, and details how to run it freely in a Jupyter Notebook.
Evaluating the Necessity of Mamba Mechanisms in Visual Recognition Tasks-MambaOut
In this article, we review the paper on MambaOut and explore the nature of Mamba.
MCP 101: An Introduction to Model Context Protocol
The goal of this article is to give readers an introduction to Model Context Protocol (MCP).
Optimizing Natural Language Processing Models Using Backtracking Algorithms: A Systematic Approach
Tips for optimizing NLP models with backtracking algorithms, with coded examples.
Understanding Parallel Computing: GPUs vs CPUs Explained Simply with role of CUDA
In this article we will understand the role of CUDA, and how GPU and CPU play distinct roles, to enhance performance and efficiency.
A Practical Python Tutorial for Beginners
Get started with Python programming in this beginner-friendly guide. Learn syntax, functions, data structures, file handling, popular libraries, and more.
