She is a full-stack developer with 4+ years of experience, including 1 year in AI. Passionate about AI, computer vision, and NLP, she's driven by curiosity and loves exploring real-world solutions. In her free time, she enjoys movies and cricket.
How much can AI remember? Gemini 1.5 Pro changes the story with a massive context window that helps process entire books, codebases, or videos, without losing the thread or skipping key details.
This article provides a clear look into the importance of prompt engineering in generative AI. It explains how prompt quality directly impacts AI outputs' relevance and accuracy. You'll find key strategies, real-world use cases, and best practices to craft effective prompts for better results across various industries.
This article examines the most impactful generative AI use cases across key industries like healthcare, finance, manufacturing, and media. It explores how businesses use AI to speed up operations, solve complex problems, and improve service delivery. Discover how this technology is transforming work as we know it.
This article provides a step-by-step guide to help beginners learn how to code AI systems from scratch. It breaks down complex concepts into simple steps, covering essential tools, math, and programming basics. Readers will also explore hands-on projects to build real-world AI skills with confidence.
This article provides a clear look at the real-world challenges of AI, including bias and privacy concerns. It offers practical strategies to manage these risks, like using clean data and promoting transparency. Youâll also learn how ethical practices can help make AI adoption safer and more effective.
This article provides a clear overview of how ethical AI frameworks guide responsible AI development. It highlights key principles, global standards, and real-world implementation steps. Youâll learn how these frameworks ensure fairness, reduce harm, and build trust in AI systems.
This article provides an overview of how machines learn from data without being told exactly what to look for. It explores how deep belief networks (DBNs) handle unlabeled data and uncover complex features using layers of Restricted Boltzmann Machines. Youâll learn how DBNs are trained, where they work best, and how they differ from other deep learning models.
This blog will examine the top AI tools that help e-commerce teams write better product content. It also walks through each toolâs standout features and guides you toward the best choice for your brandâs needs.
This blog explores key cost drivers of computer vision implementation in 2025, including hardware, software, and skilled personnel. It breaks down price ranges for critical components like cameras and infrastructure. Readers will also learn to optimize their computer vision budget for maximum ROI.
Oki AI transforms project tracking for engineering teams by eliminating manual inputs and streamlining workflows. With real-time insights and seamless tool integrations, decision-making becomes faster and smarter. This AI-powered approach allows leaders to focus on solving problemsânot chasing updates.
Elon Muskâs AI ecosystem spans self-driving cars, brain-computer interfaces, and real-time conversational AI. Through Tesla, Neuralink, and xAI, heâs building a tech future driven by autonomy, augmentation, and transparency. This blog decodes the real-world impact of Musk's bold innovations on todayâs tech landscape.
This article briefly examines why feedback often gets ignored, even when collected. It explores how a closed-loop feedback system helps turn input into timely action.
Youâll learn clear steps to improve responses, build trust, and drive better outcomes.
