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Everything about Large language model
Type of machine learning model
A large language model (LLM) is a machine learning model 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. They are the basis for many modern chatbots, such as ChatGPT, Claude, Vibe, Gemini, Grok, Qwen and DeepSeek. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Large language modelA 5-minute orientation
- Skim a recent paper: ChatGPT for good? On opportunities and challenges of large language models for educationInfluential work since 2022
- Pick up a classic book: Through the Looking-GlassThe most-reprinted book on the subject
- Read the landmark paper: Number without a language modelCited 131 times
- Go sideways: LLM-as-a-JudgeA closely related topic
- Go sideways: Prompt engineeringA closely related topic
📖 Definitions
Noun A machine learning model that assigns probabilities to sequences of characters or words, and/or is capable of generating plausible subsequent text from a given prompt.
🏆 Landmark papers (most cited)
Number without a language model
A hierarchical Dirichlet language model
Language learning as language use: A cross-linguistic model of child language development.
Random Language Model
Red Teaming Language Model Detectors with Language Models
A Neural Syntactic Language Model
Network model of human language
The latent words language model
🆕 Influential since 2022
ChatGPT for good? On opportunities and challenges of large language models for education
Evolutionary-scale prediction of atomic-level protein structure with a language model
Large language models encode clinical knowledge
Large language models in medicine
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
📚 Books worth reading
Through the Looking-GlassLewis Carroll · 1865
El túnelErnesto Sabato · 1948
SistersDanielle Steel · 2007
LostJoy Fielding · 2003
Extending the Linear Model with RJulian J. Faraway · 2004
Statistical RethinkingRichard McElreath · 2015
Structural equation modeling with AMOSBarbara M Byrne, Barbara Byrne · 2000
Analyzing Baseball Data With RJim Albert, Max Marchi · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- LLM-as-a-Judge LLM-as-a-Judge (also LLM-based evaluation or language model-based evaluation) is a technique in natural language processing in which a large language model…
- Prompt engineering Prompt engineering is the process of structuring natural language inputs (known as prompts) to produce specified outputs from a generative AI model. Context…
- Neural machine translation Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of…
- Vision-language model A vision–language model (VLM) is a type of artificial intelligence system that can jointly interpret and generate information from both images and text…
- Generative pre-trained transformer A generative pre-trained transformer (GPT) is a type of large language model (LLM) that is widely used in generative artificial intelligence chatbots.…
- Transformer (deep learning) In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data…
- Multimodal learning Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images…
- Stochastic parrot In machine learning, the term stochastic parrot is a metaphor that frames large language models as systems that statistically mimic text without real understand…