Introduction Reinforcement Learning (RL) has seen explosive growth in recent years, powering breakthroughs in robotics, game playing, and autonomous control.…
Introduction Imagine a group of robots cleaning a warehouse, a swarm of drones surveying a disaster zone, or autonomous cars…
Introduction Imagine trying to understand what someone said over a noisy phone call or deciphering a DNA sequence from partial…
Introduction Reinforcement Learning (RL) is a powerful framework that enables agents to learn optimal behaviours through interaction with an environment.…
Imagine teaching a robot to navigate a maze or training an AI to master a video game without ever giving…
What is Federated Learning? Federated Learning (FL) is a cutting-edge machine learning approach emphasising privacy and decentralisation. Unlike traditional machine…
In the age of digital transformation, Natural Language Processing (NLP) has emerged as a cornerstone of intelligent applications. From chatbots…
What is Out-of-Distribution Detection? Out-of-Distribution (OOD) detection refers to identifying data that differs significantly from the distribution on which a…
What is Anomaly Detection in LLMs? Anomaly detection in the context of Large Language Models (LLMs) involves identifying outputs, patterns,…
What is Predictive Analytics? Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to identify patterns and forecast…