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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: Large Language Model Influence on Diagnostic ReasoningCited 807 times
- Go sideways: LLM-as-a-JudgeA closely related topic
- Go sideways: Prompt engineeringA closely related topic
📖 Definitions
Noun A type of neural network specializing in language, typically including billions of parameters.
🏆 Landmark papers (most cited)
Large Language Model Influence on Diagnostic Reasoning
LLMScenario: Large Language Model Driven Scenario Generation
DB-GPT: Large Language Model Meets Database
CodonBERT large language model for mRNA vaccines
When large language model meets optimization
Text clustering with large language model embeddings
Evolving code with a large language model
Large Language Model-Based Wireless Network Design
🆕 Influential since 2022
ChatGPT for good? On opportunities and challenges of large language models for education
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
A Survey on Evaluation of Large Language Models
📚 Books worth reading
Through the Looking-GlassLewis Carroll · 1865
The Canterbury TalesGeoffrey Chaucer, John E. Cunningham · 1478
La Princesa Dormida / Waking the PrincessSusan King · 2003
Generative AI on KubernetesRoland Huß, Daniele Zonca · 2026
The Word MachineDenis Ostapenko · 2026
AI PersonasDenis Ostapenko · 2026
the power of promptAbdualhadi Khalifa · 2023
Strategie di prompting.Giuseppe Levi · 2025
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…