"Exploring the Frontiers of Artificial Intelligence Research"
The technology industry is no stranger to disruption. From the advent of the internet to the mobile revolution, technological leaps have consistently reshaped how we live and work. Now, a new wave of innovation is cresting, promising to be as transformative as its predecessors: Agentic AI. While traditional AI excels at specific tasks within defined…
Introduction: Large Language Models (LLMs) like GPT, T5, and BERT have shown remarkable performance in NLP tasks. However, fine-tuning these models on downstream tasks can be computationally expensive. Parameter-Efficient Fine-Tuning (PEFT) approaches aim to address this challenge by fine-tuning only a small number of parameters while freezing most of the pretrained model. In this blog…
Introduction: In recent years, Generative AI has witnessed a paradigm shift with the introduction of transformer models. These models, characterized by their attention mechanisms, have revolutionized natural language processing (NLP) and other generative tasks. In this blog post, we’ll explore the transformer architecture, its applications in NLP, and its extension to other creative domains. Understanding…