What are Type I and Type II Errors? In statistical hypothesis testing, researchers use tests to make inferences about a population based on sample data. However, as with any process of decision-making, mistakes can occur. Two common types of errors in hypothesis testing are Type I and Type II errors. Understanding these errors is crucial…
Mixture of Experts (MoE) is a machine learning technique where multiple specialized models (experts) work together, with a gating network selecting the best expert for each input. In the race to build ever-larger and more capable AI systems, a new architecture is gaining traction: Mixture of Experts (MoE). Unlike traditional models that activate every neuron…
Quantum computing is a revolutionary field that leverages the principles of quantum mechanics to perform computations far beyond the capabilities of classical computers. In this blog, we will explore the fundamental concepts of quantum computing, providing detailed mathematical formulations and derivations for each topic. Quantum computing is an emergent field of computer science and engineering…
Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) are a class of deep learning models that have revolutionized natural language processing (NLP).
As one of the most popular programming languages out there, many people want to learn Python. But how do you go about getting started? In this guide, we explore everything you need to know to begin your learning journey, including a step-by-step guide and learning plan and some of the most useful resources to help…
Key Concepts Explained Large Language Models (LLMs): – LLMs are sophisticated AI systems designed to understand and generate human language. They are trained on vast amounts of text data, learning the structure and nuances of language, enabling them to perform tasks like translation, summarization, and conversation. Fine-Tuning vs. Pre-Training: – Pre-Training: In this…
What is Bias-Variance Trade-Off? In the world of machine learning, the bias-variance trade-off is one of the most crucial concepts for building a successful model. It represents the delicate balance between two types of errors that can influence the performance of a model: bias and variance. These two sources of error can be thought of…
Prompt Engineering Guide Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of…
So, What is CNN? In fact, what is a Neural Network for that matter? Well, a Neural network is like an artificial brain that can intelligently do stuff.
Operations Research (OR) is a multidisciplinary field that uses mathematical models, statistical analysis, and optimization techniques to solve complex decision-making problems in various industries such as manufacturing, transportation, healthcare, finance, and logistics.
