Prompt Engineering in Real-World AI Software: Challenges, Learnings, and Use Cases
AI can perform miracles but only if you know how to ask. I’m Subodh, a Prompt Engineer at Nirvana Lab. I’ve wrestled with the fine art of crafting the perfect AI instruction. Sometimes, a single word changes everything other times, even the most polished prompts fail spectacularly.
AI vs ML vs Deep Learning: What’s the Difference?
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are often used interchangeably, but they represent distinct concepts with unique applications. Understanding the difference between AI, ML, and deep learning is crucial for business leaders, tech enthusiasts, and decision-makers navigating the digital transformation orbit.
How to Build A Machine Learning Model (Step-by-Step Guide)
Machine learning (ML) is transforming industries by enabling data-driven decision-making, automation, and predictive analytics. Whether you’re a business leader, data scientist, or a beginner, understanding how to build a machine learning model is essential.
10 Best Prompt Engineering Techniques for Better AI Responses
In 2025, AI becomes increasingly integrated into business workflows, and the ability to extract high-quality responses from AI models has become a critical skill. Prompt engineering, the practice of crafting effective inputs to guide AI outputs, plays a pivotal role in maximizing the utility of AI tools like ChatGPT, Gemini, and Claude.