The rapid development and adoption of Artificial Intelligence (AI), particularly generative AI like Large Language…

One of the critical issues in neural networks is the problem of vanishing and exploding…

Weight initialization in neural networks significantly influences the efficiency and performance of training algorithms. Proper…

Two critical issues that often arise in training deep neural networks are vanishing gradients and…

The training process involves optimizing a model’s parameters to minimize the loss function. One crucial…

Here are the 20 influential AI papers in 2024: Mixtral of Experts (Jan 2024) [paper]…

In ML and statistical modeling, the concept of bias-variance trade-off is fundamental to model performance….

SentencePiece is a subword tokenization library developed by Google that addresses open vocabulary issues in…

WordPiece is a subword tokenization algorithm that breaks down words into smaller units called “wordpieces.”…

Tool-Integrated Reasoning (TIR) is an emerging paradigm in artificial intelligence that significantly enhances the problem-solving…

Tree of Thought (ToT) prompting is a novel approach to guiding large language models (LLMs)…

Program-of-Thought (PoT) is an innovative prompting technique designed to enhance the reasoning capabilities of LLMs…

As we approach 2025, the landscape of artificial intelligence (AI) is set to undergo significant…

Machine Learning (ML) has revolutionized numerous industries by enabling computers to learn from data and…

Ensuring the ethical use of Large Language Models (LLMs) is paramount to fostering trust, minimizing…