LLMs

Technology

Large Language Models are the underlying technology for AI chatbots like ChatGPT, whose operational mechanics (like feedback loops and context poisoning) can contribute to psychotic breaks in users.


entitydetail.created_at

7/12/2025, 4:41:06 AM

entitydetail.last_updated

8/16/2025, 2:37:32 AM

entitydetail.research_retrieved

7/12/2025, 5:09:02 AM

Summary

Large Language Models (LLMs) are advanced Artificial Intelligence systems, specifically a subset of deep learning and foundation models, trained using self-supervised machine learning on immense datasets of text and code. They are designed for natural language processing tasks, excelling at understanding, generating, summarizing, translating, and creating various forms of content, including text, images, music, and software code. Prominent examples include Generative Pretrained Transformers (GPTs) which power generative chatbots like ChatGPT, Gemini, and Claude. The development of LLMs is a central aspect of the ongoing 'AI arms race,' with key players like xAI, OpenAI, and Google's Gemini at the forefront. Their training strategies are increasingly influenced by 'The Bitter Lesson,' advocating for scalable computation over reliance on human-labeled data, leading to a growing emphasis on synthetic data and a re-evaluation of the long-term value of human-labeled data.

Research Data
Extracted Attributes
  • Type

    Artificial Intelligence (AI)

  • Category

    Deep Learning, Foundation Model

  • Limitations

    Inherit inaccuracies and biases from training data

  • Training Method

    Self-supervised machine learning

  • Key Capabilities

    Understanding human language, analyzing, summarizing, translating text, responding to questions, generating new content (text, images, music, software code), inferring from context, creative writing, code generation

  • Primary Function

    Natural Language Processing (NLP), Language generation

  • Core Architecture

    Transformer (encoder, decoder, self-attention)

  • Training Data Volume

    Vast amounts of text, billions of words, text and code

  • Influencing Principle

    The Bitter Lesson (scalable computation over human-labeled data)

  • Current Training Trend

    Shift towards synthetic data

  • Data Investment Thesis

    Short halflife on human-labeled data

Timeline
  • IBM publishes an article titled 'What Are Large Language Models (LLMs)?' explaining their nature and capabilities. (Source: Web Search Results)

    2023-11-02

  • SAP publishes an article titled 'What is a large language model (LLM)?' detailing LLMs as a critical component in generative AI. (Source: Web Search Results)

    2024-07-02

Large language model

A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pretrained transformers (GPTs), which are largely used in generative chatbots such as ChatGPT, Gemini or Claude. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained in.

Web Search Results
  • What is a large language model (LLM)? - SAP

    In the realm of artificial intelligence, LLMs are a specially designed subset of machine learning known as deep learning, which uses algorithms trained on large data sets to recognize complex patterns. LLMs learn by being trained on massive amounts of text. At the foundational level, they learn to respond to user requests with relevant, in-context content written in human language—the kind of words and syntax people use during ordinary conversation. [...] What is What is a large language model? =============================== A large language model (LLM) is a type of artificial intelligence (AI) that excels at processing, understanding, and generating human language. LLMs are useful for analyzing, summarizing, and creating content across many industries. Published on July 2, 2024 Artificial Intelligence Image 4 What's on this page ------------------- What's on this page [...] Large language model applications --------------------------------- LLMs are a critical component in generative AI capability, making them powerful tools for a range of natural language processing tasks such as: Searching, translating, and summarizing text Responding to questions Generating new content including text, images, music, and software code

  • What is LLM? - Large Language Models Explained - AWS

    Large language models, also known as LLMs, are very large deep learning models that are pre-trained on vast amounts of data. The underlying transformer is a set of neural networks that consist of an encoder and a decoder with self-attention capabilities. The encoder and decoder extract meanings from a sequence of text and understand the relationships between words and phrases in it.

  • What is a large language model (LLM)?

    A large language model (LLM) is a type of artificial intelligence that can generate human language and perform related tasks. These models are trained on huge datasets, often containing billions of words. By analyzing all this data, the LLM learns patterns and rules of language, similar to how a human learns to communicate through exposure to language. LLMs can perform various language tasks, such as answering questions, summarizing text, translating between languages, and writing content. [...] A large language model (LLM) is a type of artificial intelligence that can generate human language and perform related tasks. These models are trained on huge datasets, often containing billions of words. By analyzing all this data, the LLM learns patterns and rules of language, similar to how a human learns to communicate through exposure to language. LLMs can perform various language tasks, such as answering questions, summarizing text, translating between languages, and writing content.

  • Large Language Model - Artificial Intelligence: The Basics

    A Large Language Model (LLM) is a type of artificial intelligence that has been trained on a massive dataset of text and code. This allows them to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. LLMs are still under development, but they have learned to perform many kinds of tasks, including:

  • What Are Large Language Models (LLMs)? - IBM

    LLMs are a class of foundation models, which are trained on enormous amounts of data to provide the foundational capabilities needed to drive multiple use cases and applications, as well as resolve a multitude of tasks. This is in stark contrast to the idea of building and training domain specific models for each of these use cases individually, which is prohibitive under many criteria (most importantly cost and infrastructure), stifles synergies and can even lead to inferior performance. [...] In a nutshell, LLMs are designed to understand and generate text like a human, in addition to other forms of content, based on the vast amount of data used to train them. They have the ability to infer from context, generate coherent and contextually relevant responses, translate to languages other than English, summarize text, answer questions (general conversation and FAQs) and even assist in creative writing or code generation tasks. [...] Published Time: Fri, 11 Jul 2025 03:48:16 GMT What Are Large Language Models (LLMs)? | IBM =============== My IBM Log in Subscribe What are large language models (LLMs)? ====================================== 2 November 2023 Link copied are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks.