Author: Arunangshu Das

Deploy Large Language Model:In recent years, large language models (LLMs) have revolutionized the landscape of natural language processing (NLP) and artificial intelligence (AI) applications. These models, such as the GPT (Generative Pre-trained Transformer) series by OpenAI, have shown remarkable capabilities in understanding, generating, and even translating human language. However, deploying such models into real-world applications involves various challenges and considerations. Understanding Large Language Models: Before diving into deployment strategies, it’s crucial to understand what large language models are and how they function. Large language models are deep learning architectures trained on vast amounts of text data to understand and generate…

In artificial intelligence, deep learning has emerged as a transformative force, revolutionizing industries ranging from healthcare to finance, and from transportation to entertainment. At the heart of this revolution lies the neural network, a computational model inspired by the human brain. However, the computational demands of training and deploying these networks are immense, often requiring substantial processing power. Herein lies the critical role of Graphics Processing Units (GPUs) in deep learning. Understanding Deep Learning: Before delving into the significance of GPUs, it’s essential to grasp the fundamentals of deep learning. Deep learning is a subset of machine learning that utilizes…