JavaScript is a vast language, and no matter how much experience you have, there’s always something new to learn. Whether you’re preparing for an interview or just want to challenge yourself, testing your JavaScript knowledge is a great way to […]
If You Can Answer These 7 Questions Correctly You’re Decent at JavaScript Read More »
A few years ago, I had the chance to work with a Principal Software Engineer who seemed to have a superpower: they always got things done—without looking stressed. Deadlines? Met. Code quality? Excellent. Meetings? Efficient. Meanwhile, the rest of us
7 Productivity Hacks I Stole From a Principal Software Engineer Read More »
If you’ve been working with Node.js for a while, you know that package.json is the heart of your project. It keeps track of dependencies, scripts, metadata, and more. But despite its importance, developers often make mistakes that can lead to
7 Common Mistakes in package.json Configuration Read More »
Node.js has become a must-know technology for developers working with JavaScript, backend services, or full-stack development. Whether you’re preparing for an interview or just sharpening your skills, knowing the most commonly asked Node.js questions can give you an edge. 1.
Top 20 Node.js Questions Every Developer Should Know Read More »
JSON Web Tokens (JWTs) are often praised for their simplicity and scalability in stateless authentication. They allow clients to authenticate once and use the token for subsequent requests without needing to hit the database again. Sounds great, right? Well, not
How big platforms like Twitter, Instagram, or GitHub handle username availability in real-time? When you sign up and type in your desired username, it instantly tells you whether it’s available or already taken. It looks simple, but behind the scenes,
Fine-tuning AI models isn’t just about feeding them more data and hoping for the best. It’s an art—a process that requires precision, experimentation, and a deep understanding of how models learn. Whether you’re working with large language models (LLMs), vision
Fine-tuning AI models is both an art and a science. Whether you’re working with large language models, computer vision networks, or any other deep learning architecture, getting the best performance requires strategic tweaking. It’s easy to fall into the trap
Artificial intelligence (AI) has come a long way from its early rule-based systems to today’s deep learning marvels. At the heart of AI’s adaptability is fine-tuning—the process of taking a pre-trained model and tweaking it to perform better on specific
The Science Behind Fine-Tuning AI Models: How Machines Learn to Adapt Read More »
AI models are powerful, but out-of-the-box solutions don’t always fit the specific needs of a business or application. Customizing an AI model can significantly improve accuracy, efficiency, and overall performance for a particular use case. But how exactly do you
Which Techniques Are Best for AI Model Customization? Read More »
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