LLMs (Large Language Models)

Extracted Attributes

• Type

  Artificial Intelligence

• Sub-type

  Language Model, Deep Learning Model

• Economic Impact

  Drives significant investment in GPU infrastructure

• Training Method

  Self-supervised machine learning

• Economic Concern

  Potential AI Bubble, Technology Lock-in, limited AI ROI

• Key Capabilities

  Answering questions, summarizing text, translating languages, writing content, completing sentences

• Primary Function

  Natural language processing, language generation

• Core Architecture

  Transformer architecture

• Economic Opportunity

  Labor Arbitrage

• Hardware Requirement

  GPU (e.g., Nvidia H100 chips)

• Training Data Volume

  Vast amounts of text data, billions of words

• Potential Limitations

  Inherit inaccuracies and biases from training data

• Inherent Understanding

  Syntax, semantics, and ontologies of human language

• Specialization Methods

  Fine-tuning, prompt engineering

Timeline

• A systematic review analyzed 89 studies from 2022 to 2023 covering 29 medical specialties, exploring the current applications and limitations of LLMs in patient care. (Source: Web Search)

  2022-2023

• The All-In Podcast episode 186 discusses shifting AI sentiment, massive AI Capex, limited AI ROI, and the role of LLMs, with Chamath Palihapitiya expressing concerns and David Sacks offering a bullish long-term view. Jason Calacanis highlights labor arbitrage opportunities. (Source: Related Documents)

  2024

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 pre-trained transformers (GPTs), based on a transformer architecture, which are largely used in generative chatbots such as ChatGPT, Gemini and 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 on.

Web Search Results

• 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 the way 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 the way 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.

• What is LLM (Large Language Model)? - 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. [...] Large language models are incredibly flexible. One model can perform completely different tasks such as answering questions, summarizing documents, translating languages and completing sentences. LLMs have the potential to disrupt content creation and the way people use search engines and virtual assistants. [...] AWS offers several possibilities for large language model developers. Amazon Bedrock is the easiest way to build and scale generative AI applications with LLMs. Amazon Bedrock is a fully managed service that makes LLMs from Amazon and leading AI startups available through an API, so you can choose from various LLMs to find the model that's best suited for your use case.

• What is an LLM (large language model)? - Cloudflare

  A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data — hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a transformer model. [...] Sign upSales: +1 (888) 99 FLARE # What is a large language model (LLM)? Large language models (LLMs) are machine learning models that can comprehend and generate human language text. They work by analyzing massive data sets of language. #### Learning Objectives After reading this article you will be able to: Define large language model (LLM) Understand the applications for LLMs Explain how LLMs work Related Content [...] At a basic level, LLMs are built on machine learning. Machine learning is a subset of AI, and it refers to the practice of feeding a program large amounts of data in order to train the program how to identify features of that data without human intervention. LLMs use a type of machine learning called deep learning. Deep learning models can essentially train themselves to recognize distinctions without human intervention, although some human fine-tuning is typically necessary.

• What are large language models (LLMs)? - Microsoft Azure

  Large language models (LLMs) are advanced AI systems that understand and generate natural language, or human-like text, using the data they’ve been trained on through machine learning techniques. LLMs can automatically generate text-based content, which can be applied to a myriad of uses cases across industries, resulting in greater efficiencies and cost savings for organizations worldwide. ### Key takeaways [...] LLM stands for large language model. AI is a broad field that covers a wide range of applications beyond just language. It includes all technologies that aim to replicate human intelligence. As a specific type of AI model, LLMs are a subset of the broader AI landscape, one that focuses on processing and generating natural language text. [...] Natural language processing (NLP) refers to the overarching field focused on language processing, while large language models (LLMs) are a specific, advanced type of model within the field of NLP that uses deep learning techniques to handle language tasks. Generative pre-trained transformer (GPT) refers to a specific series of large language models (LLMs) developed by OpenAI. They are a type of LLM, with a specific focus on language generation.

• Current applications and challenges in large language models for ...

  Large language models (LLMs) are computer programs that can generate human-like text. They promise to improve patient education and expand access to medical information by helping patients better understand health conditions and treatment options. However, more information is needed about how these tools are used in patient care and the challenges they present. In this review, researchers analyzed 89 studies from 2022 to 2023 covering 29 medical specialties. These studies explored ways LLMs are [...] The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and broadening access to medical knowledge. Despite the popularity of LLMs, there is a significant gap in systematized information on their use in patient care. Therefore, this systematic review aims to synthesize current applications and limitations of LLMs in patient care. ### Methods