Introduction to DETR – Part 2: The Crucial Role of the Hungarian Algorithm
In part 2 of this tutorial series, we look at DETR’s Hungarian Algorithm in depth to show how it minimizes cost.
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.
Why Data Augmentation Is Key for Vision, Language, and Audio AI
Explore data augmentation techniques that improve accuracy, robustness, and generalization in vision, language, and audio models.
Building sharp regression models with K-Means Clustering + SVR
Discover how combining K-Means clustering with SVR improves regression accuracy, especially for complex or unevenly distributed datasets.
Regression vs Transformers: Key Differences and When to Use Each Model
Explore the differences between regression and transformer models in machine learning. Understand how each works and when to use them.
ReFT: Representation Finetuning for Language Models
In this article we introduce pyreft, a novel fine-tuning method called Representation Fine-Tuning (ReFT), which offers superior efficiency and interpretability compared to state-of-the-art methods like PEFTs.
Building a Custom Real-time Chat Experience with the cloud provider’s Gradient Platform
Learn how to build a custom chat application that mimics the ChatGPT experience using the cloud provider’s Gradient Platform.
Установка дистрибутива Anaconda Python в Ubuntu 20.04
Anaconda — диспетчер пакетов с открытым исходным кодом, диспетчер среды и дистрибутив языков программирования Python и R. Он широко используется для анализа данных, машинного обучения, крупномасштабной обработки данных, научных вычислений и предиктивной аналитики. Anaconda…
Enhancing NLP Models for Robustness Against Adversarial Attacks: Techniques and Applications
Learn about a variety of techniques used to keep deep learning NLP models secure.
Text to Vision to Image Generation – Running DeepSeeks Janus Pro on the cloud provider’s GPU Droplets
In this article,