What are AI dark factories AI dark factories are factories where every step in the assembly line, every aspect of production is automated. They operate seamlessly sans any human intervention . They aren’t just another step forward in manufacturing and industry, they also mark the beginning of a new era , another industrial revolution perhaps… Continue reading AI Dark Factories

What are AI giga-factories AI giga factories are massive facilities with large data centers, extensive computational machines and the required energy infrastructure to power them all at one place. They are being built for the dedicated purpose of building new next generation AI models.  The sheer scale of computing power, GPUs, electricity and resources that… Continue reading AI Gigafactories

What is Subliminal Learning A great part of communication is implicit. Body language , tone and non verbal communication convey more than words do. Humans pick up on subtle expressions and mannerisms and even much of our behavior and values are learnt from our parents and teachers in the same way. So when researchers tried… Continue reading Subliminal Learning

If you can’t help it and keep adding those “suggested” items to your cart on your favorite e-commerce website and low-key wonder, how a random website knows your likes and dislikes better than your significant other of years , there is a secret. If you are powerless and curiosity gets the better of you and… Continue reading Machine Learning (ML)

What if the old advice “solve it step by step” was the key to making AI reason better too? Just as people often crack tough problems by writing down each step, large language models can also improve when they are guided to “think out loud” before giving an answer. Chain-of-thought (CoT) prompting is a technique… Continue reading Chain of Thought Prompting

From headline-grabbing model training, the focus is steadily shifting to what AI actually does in the real world. Inference, or how trained models make predictions on new data. AI systems broadly operate in two phases. First is the learning phase, where models are trained on large datasets and their internal parameters are optimized. This stage… Continue reading AI Inference

AI systems are built with safety rules to stop them from generating harmful or dangerous content. Yet, just as people try to hack phones or software, some users experiment with ways to break these protections and make AI do things it was designed not to do. This practice is known as AI jailbreaking. AI jailbreaking… Continue reading AI Jailbreaking

Most of us use AI through phones, laptops, or simple apps, but the models behind these tools are often huge and too expensive to run on everyday devices. Knowledge Distillation (KD) is a technique that makes these capabilities more accessible by shrinking large models into smaller, more efficient ones. A deep, complex teacher model trains… Continue reading Knowledge Distillation (KD)

When models memorize instead of learn. The difference between truly understanding a topic and merely memorizing it shows up the moment a test is changed. People who have only memorized falter on new questions, and AI models do the same. When a model remembers the training data too precisely but learns too little about the… Continue reading Overfitting

AI and ML models are trained on large datasets so they can spot patterns and make predictions on new, unseen data. Underfitting happens when a model fails to learn those patterns properly. It cannot capture the underlying complexity in the data and therefore performs poorly on both training and test sets, showing high bias and… Continue reading Underfitting