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Image by Editor Generative AI is growing, with more people interested in how they can transition into the AI sector. A big hit at the…
Photo by Google DeepMind In the relentless pursuit of innovation and securing a competitive advantage, businesses are progressively harnessing the power of artificial intelligence (AI)…
Image by Unsplash A month into 2024 and I’ve never seen my LinkedIn profile so busy with ‘Open to Work’ banners and posts. 2023 was…
Image by Author If you’re a data professional, you’re probably familiar with the data lake architecture. A data lake can store large volumes of raw…
Understanding the world from a first-person perspective is essential in Augmented Reality (AR), as it introduces unique challenges and significant visual transformations compared to third-person views.…
Text-to-image (T2I) generation is a rapidly evolving field within computer vision and artificial intelligence. It involves creating visual images from textual descriptions blending natural language processing…
Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and…
In advanced machine learning, Retrieval-Augmented Generation (RAG) systems have revolutionized how we approach large language models (LLMs). These systems extend the capabilities of LLMs by integrating…
Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. Also, LLMs are branching out into…
Data comes in different shapes and forms. One of those shapes and forms is known as categorical data.This poses a problem because most Machine Learning algorithms…