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Artificial Intelligence

Popular Large Language Models

Popular Large Language Models

Here is a list of large language models: 1. BERT (Bidirectional Encoder Representations from Transformers): Developed by Google, BERT is a pre-trained language model that uses a multi-task learning approach to achieve state-of-the-art results on a wide range of natural language processing tasks. 2. RoBERTa (Robustly optimized BERT approach): Developed

Large Language Models (LLMs)

Large Language Models (LLMs)

Large Language Models are a type of artificial neural network designed to process and generate human-like text. These models have revolutionized the field of natural language processing (NLP), enabling applications such as language translation, text summarization, and sentiment analysis. Key Components of Large Language Models 1. Encoder: The encoder takes

Mathematics of Machine Learning: Unlocking the Secrets of the Digital Universe

Mathematics of Machine Learning: Unlocking the Secrets of the Digital Universe

Machine learning math is a fundamental aspect of machine learning, and involves a range of mathematical disciplines. * Linear Algebra: Linear algebra is a branch of mathematics that deals with vectors, matrices, and linear transformations. It is used in machine learning to: * Linear Regression: A method for predicting a continuous outcome

Long Short-Term Memory (LSTM) Networks

Long Short-Term Memory (LSTM) Networks

Long Short-Term Memory (LSTM) Networks are a type of Recurrent Neural Network (RNN) that is designed to handle long-term dependencies in sequential data. LSTM Networks are characterized by their ability to learn both short-term and long-term dependencies in data. Key Components of LSTM Networks * Memory Cells: LSTM Networks use memory

Artificial Intelligence (AI)

Artificial Intelligence (AI)

Artificial Intelligence (AI) is a field of research and development that focuses on creating intelligent machines that can perform tasks that typically require human intelligence. AI is a broad field that encompasses a wide range of techniques and approaches, from machine learning and deep learning to natural language processing and