Introduction The ever-growing field of large language models (LLMs) unlocks incredible potential for various applications. However, fine-tuning these powerful models for specific tasks can be a complex and resource-intensive endeavor. TorchTune, a new PyTorch library, tackles this challenge head-on by offering an intuitive and extensible solution. PyTorch released the alpha tourchtune, a PyTorch native library […] The post PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning appeared first on Analytics Vidhya ..read more

Introduction In recent years, Graph Neural Networks (GNNs) have emerged as a potent tool for analyzing and understanding graph-structured data. By leveraging the inherent structure and relationships within graphs, GNNs offer a unique approach to solving a wide range of machine learning tasks. In this blog, we will explore this concept from theory to GNN […] The post Getting Started with GNN Implementation appeared first on Analytics Vidhya ..read more

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in. This helps for our learning model […] The post Amplifying Deep Learning: A Dive into Data Augmentation Strategies appeared first on Analytics Vidhya ..read more

Introduction Running Large Language Models has always been a tedious process. One has to download a set of 3rd party software to load these LLMs or download Python and create an environment by downloading a lot of Pytorch and HuggingFace Libraries. If going through the Pythonic Approach, one has to go through the process of […] The post Using Llamafiles to Simplify LLM Execution appeared first on Analytics Vidhya ..read more

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and its gentle computational requirements make it a versatile and efficient choice. However, Adam’s true potential lies in the fine-tuning of its hyperparameters. In this blog, we’ll dive into the intricacies […] The post What is Adam Optimizer and How to Tune its Parameters in PyTorch appeared first on Analytics Vidhya ..read more

Introduction The amalgamation of artificial intelligence (AI) and artistry unveils new avenues in creative digital art, prominently through diffusion models. These models stand out in the creative AI art generation, offering a distinct approach from conventional neural networks. This article takes you on an explorative journey into the depths of diffusion models, elucidating their unique […] The post Implementing Diffusion Models for Creative AI Art Generation appeared first on Analytics Vidhya ..read more

In a significant stride towards fostering collaboration and innovation in the field of machine learning, Apple has unveiled MLX, an open-source array framework specifically tailored for machine learning on Apple silicon. Developed by Apple’s esteemed machine learning research team, MLX promises a refined experience for researchers, enhancing the efficiency of model training and deployment. Familiar […] The post Apple Introduces Open-Source ML Framework: MLX appeared first on Analytics Vidhya ..read more

Introduction In the ever-evolving realm of technology, Artificial Intelligence (AI) has emerged as a transformative force. From its humble origins in basic algorithms to the sophistication of modern machine learning models, the AI journey has indeed been revolutionary. Now, a captivating chapter unfolds with the advent of Generative AI Libraries in Search. But what exactly […] The post Top 5 Generative AI Libraries to Use in 2024 appeared first on Analytics Vidhya ..read more

Introduction In the ever-evolving landscape of artificial intelligence, Generative AI has undeniably become a cornerstone of innovation. These advanced models, whether used for creating art, generating text, or enhancing medical imaging, are known for producing remarkably realistic and creative outputs. However, the power of Generative AI comes at a cost – model size and computational […] The post Scaling Down, Scaling Up: Mastering Generative AI with Model Quantization appeared first on Analytics Vidhya ..read more

Introduction Python is a versatile and powerful programming language that plays a central role in the toolkit of data scientists and analysts. Its simplicity and readability make it a preferred choice for working with data, from the most fundamental tasks to cutting-edge artificial intelligence and machine learning. Whether you’re just starting your journey in data […] The post 10 Useful Python Skills All Data Scientists Should Master appeared first on Analytics Vidhya ..read more