-
What is DeepLearning?
Deep learning is a subset of machine learning, which is itself a subset of artificial intelligence (AI). It involves the use of neural networks with many layers (hence “deep” learning) to model and understand complex patterns and relationships within data. Here’s a detailed explanation of what deep learning is and how it works: What is…
-
Understanding Large Language Models (LLMs)
Abstract Large Language Models (LLMs) have revolutionized natural language processing (NLP) with their ability to generate human-like text, translate languages, and perform various linguistic tasks. This post aims to provide an understanding of how LLMs work, their architecture, training process, and applications. “LLMs are AI systems that are trained on massive amounts of text data,…
-
Sequential and Parallel Processing in LLMS
Sequential Processing Sequential processing means handling data one element at a time in a specific order. In the context of text, this means processing one word after another, following the sequence they appear in. Traditional models like Recurrent Neural Networks (RNNs) and Long Short-Term Memory networks (LSTMs) process input text sequentially. Here’s how it works:…
-
Introduction to the New ChatGPT API
Abstract: This paper presents an overview of the new ChatGPT API, highlighting its features, architecture, applications, and potential impact on various industries. With advancements in natural language processing and artificial intelligence, the new API offers enhanced capabilities for developers and businesses to integrate sophisticated conversational AI into their applications. 1. Introduction ChatGPT, developed by OpenAI,…
