AI may be the great equalizer in theory, but in practice, it is becoming the new divide. I lacked a high-end GPU, an advanced IDE, and a stable connection to the World Wide Web when high-schooler me was writing my first few lines of Python code. Merely curiosity, and persistent enough to catch a pesky droid bug till the next dawn. Waltzing to the present time, and I observe that students from rural or underfunded urban schools still display the same hunger as high-schooler Divyabhanu, but their learning environment has not caught up. Pricey GPU credits, content locked behind linguistic barriers, and paywalled bootcamps still keep too many of the students locked out of the AI revolution. That is where equity comes into picture. Not equal opportunity, but fair opportunity: multilingual AI lessons, affordable computations, relevant mentorship programs, and no-expense data at their disposal. Since we techies can build models that learn from quadrillions of parameters and code, then su...
A Retrospect to Begin with... In calculus, the concepts of limits and continuity form the foundation upon which differentiability is built. A limit helps us understand the behavior of a function as it approaches a specific point, while continuity ensures that a function has no abrupt jumps or breaks. Differentiability takes these ideas further, exploring how a function changes at an infinitesimal level. What is Differentiability? Differentiability is essentially defined as the ability to derive the function. A derivative refers to the slope of the tangent line to a curve defined at a point on the curve, or alternatively, it can define the function's instantaneous rate of change. To understand this better, consider the car analogy . If you travel 100 kilometers within 2 hours, the average speed can be calculated as 50 km per hour. Nevertheless, this does not tell whether the car was going really fast or with less speed or was really slow. The derivative describes this aspect by show...