The Big Data Blog

In May 2023, Geoffrey Hinton resigned from Google to speak about the risks of AI [1].

Current large language models (LLMs) concatenate system instructions, historical context, and factual data into the same token sequence.

Current software development using AI coding agents rests on a technological paradox.

Efficient data processing lies at the heart of modern machine learning.

Introduction In GLMs, we often encounter scenarios where we need to account for exposure or adjust for certain factors.

Predicting stock prices is akin to the attempts of alchemists in the Middle Ages to transmute lead into gold.

Problem Statement Let thus , we construct a stochastic process as , this kind of random variable are called hypoexponential random variables.

In many applications actuaries, data scientists or researchers are confronted with datasets like shown in Table 1.

Introduction A while ago I applied NLP strategies to implement an algorithm that is capable to guess a password.

I recently realized that I have a certain habit when it comes to stock trading even though I used to tell myself that “every trading strategy is useless because the ...