Borland-Osborne/McGraw-Hill Programming series
Description
A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate training data can make an LLM's output less reliable. LLMs are typically based on transformer architecture. Generative pre-trained transformers (GPTs) are a type of LLM that is pre-trained to predict the next word.
How the series evolves
Books in this Series
Turbo C
A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate training data can make an LLM's output less reliable. LLMs are typically based on transformer architecture. Generative pre-trained transformers (GPTs) are a type of LLM that is pre-trained to predict the next word.