Expert Parallelism: Scaling Mixture-of-Experts Models
Learn how Expert Parallelism boosts Mixture-of-Experts model efficiency and GPU scalability for faster, more optimized large-scale deep learning training.
Finetune Multimodel LLM:IDEFICS 9B using A100
In this article, we will learn how to make predictions using the 4-bit quantized Idefics-9B model and fine-tune it on a specific dataset.
Getting Started with the Gradient Platform
We discuss how the Gradient platform from the cloud provider provides a powerful and easy to use framework for anyone to create agentic AI for their use case.
Grounding DINO 1.5: Pushing the Boundaries of Open-Set Object Detection
This article reviews the advancements presented in the paper “Grounding DINO 1.5: Advance the ‘Edge’ of Open-Set Object Detection.” We will explore the methodologies introduced, the impact on open-set object detection, and the potential applications and future directions suggested by this research.
Создание нейронной сети для перевода языка жестов на английский
Автор выбрал Code Org для получения пожертвования в рамках программы Write for DOnations. Компьютерное зрение — это подсфера компьютерной науки, задача которой заключается в получении понимания…
How to Write and Implement Agent Skills
Learn how to create and implement Agent Skills for LLMs using the SKILL.md framework. Build modular, reusable capabilities for AI agents with specialized instructions, Python scripts, and resources. Includes PDF parsing example with PyPDF2 integration.
How To Install the Anaconda Python Distribution on Ubuntu 22.04
This tutorial will guide you through installing the Python 3 version of Anaconda on an Ubuntu 22.04 server. Anaconda is an open-source package manager, environment manager, and distribution of the Python and R programming languages. It is commonly used for data science, machine learning, large-scale data processing, scientific computing, and predictive analytics.
How to Use Nvidia Container Tools and Miniconda with GPU Droplets
A guide to setting up Nvidia Container Toolkit and Miniconda on GPU cloud servers for PyTorch usage.
Building a simple Generative Adversarial Network (GAN) using TensorFlow
Generative Adversarial Networks or GANs are one of the most active areas in deep learning research and development due to their incredible ability to generate synthetic results. In this blog, we will build out the basic intuition of GANs through a concrete example.
Introduction to TensorFlow: Build AI Across Domains
Learn how to use TensorFlow, a powerful open-source library, to build and deploy machine learning and deep learning models across various applications.
