In recent years, two major breakthroughs have revolutionized the field of Large Language Models (LLMs): 1. 2017: The publication of Google’s seminal paper, (https://arxiv.org/abs/1706.03762) by Vaswani et al., which introduced the Transformer architecture – a neural network that fundamentally changed Natural Language Processing (NLP). 2. 2022: The launch of ChatGPT by OpenAI, a transformer-based chatbot…
Introduction Autoregressive language models generate text one token at a time. Each new prediction requires a full forward pass through all transformer layers, leading to redundant computations. For example, generating the next token in: [What, is, in,] → [the] requires recomputing attention over [What, is, in,] even though these tokens haven’t changed. KV Caching solves this inefficiency by…
What is a large language model (LLM)? Large Language Models are machine learning models that employ Artificial Neural Networks and large data repositories to power Natural Language Processing (NLP) applications. An LLM serves as a type of AI model designed to be able to grasp, create, and manipulate natural language. These models rely on deep…
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).
In the ever-evolving field of Natural Language Processing (NLP), the introduction of transformers has marked a major turning point.
