Language model

As explained in Statistics Every Programmer Needs

A mathematical model represents relationships in a system using mathematical structures to analyze or predict its behavior.

How Statistics Every Programmer Needs covers it

How deep it goes

Defines models as decision tools and sketches objectives and constraints through linear programming.

Examples

Uses supply chains, transportation, manufacturing, and portfolio construction as optimization applications.

What you can do after

Understand how objectives and constraints turn resource-limited decisions into an optimization problem.

How it connects

Connects mathematical models with statistics, quantitative methods, linear programming, and constrained optimization.

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Also explained in

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  Software Testing with Generative AIA large language model is a machine-learning model trained on extensive text data to generate and transform language from an input prompt.
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  LLMs in ProductionA large language model is an artificial intelligence model trained on large text collections to predict and generate human language.
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  How Large Language Models WorkA machine-learning model trained on very large text collections to understand and generate human language or other sequential content such as source code.
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  Natural Language Processing in Action, Second EditionA large language model is a neural language model trained on very large text corpora to model and generate language.
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  Introduction to Generative AI, Second EditionA large language model is a language model trained on very large amounts of data with many parameters to understand and generate natural language across tasks.
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  Deep Learning with R, Third EditionA large language model is a machine-learning model trained on large text corpora to understand and generate natural-language text.
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  Grokking AI Algorithms, Second EditionA large language model is a neural language model trained on large text corpora to process and generate human language.
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  The Art of AI Product DevelopmentA machine-learning model trained on large text corpora to understand and generate natural language.
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  Deep Learning with Python, Third EditionA language model trained on large text corpora that can generate human-sounding responses, mentioned here as an example of a system that may be modular but still lacks recombination ability.
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  Grokking AI ApplicationsA large language model is a machine-learning model trained on large text collections to predict and generate sequences of natural-language tokens.
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  Generative AI in ActionA large language model is a neural model trained on large text corpora to understand and generate natural language, including source code in code-focused variants.
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  Investing for ProgrammersA large language model is an artificial-intelligence model trained on extensive text data to understand and generate human language.
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  Effective Conversational AIA large language model is a machine learning model trained on very large text datasets to model and generate sequences of language.
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  Knowledge Graphs and LLMs in ActionA large language model is a neural language model trained on very large text corpora to understand and generate natural-language content.
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  Sutskever's ListA language model assigns probabilities to sequences of linguistic tokens and can generate or evaluate text.
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  The Complete Obsolete Guide to Generative AIA machine-learning model trained on large text corpora to process and generate natural-language text.
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  Deep Learning with PyTorch, Second EditionA language model with enough scale to generate and answer with fluent text from prompts.
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  Inside AIA large language model is a machine-learning model trained on large text corpora to process and generate human-language text.
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  Starting Data Analytics with Generative AI and PythonA machine-learning model trained on large text collections to understand and generate natural language.
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  AI-Powered SearchA large language model is a neural language model trained on large text corpora to predict and generate language and perform related language-understanding tasks.
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  Learn Generative AI with PyTorchA large language model trained beforehand on broad textual data and reused for downstream tasks.
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  Machine Learning Platform EngineeringA large language model is a neural language model trained on extensive text data to generate or transform natural-language content.
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  Data Analysis with LLMsA language model with a very large number of learned parameters, trained on broad text data for general-purpose language tasks.
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  Build AI-Enhanced Web AppsA large language model is a machine-learning model trained on large amounts of text to understand and generate natural-language content.
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  Effective Data AnalysisA large language model is a machine-learning model trained on extensive text data to process and generate human language.
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  Build Python Web Apps with StreamlitAn LLM is a large language model that generates or transforms text from input sequences.
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  AI Agents and ApplicationsA large language model is a neural language model trained on extensive text data to understand and generate language and perform text-based reasoning.
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  Causal AIA large language model is a deep neural language model with billions of parameters trained on vast amounts of text and other data.
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  Coding with AIA large language model is a neural language model trained on extensive data to understand and generate language, including programming-language text.
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  Time Series Forecasting Using Foundation ModelsA large language model is a neural-network model trained on large text corpora to perform language understanding and generation tasks.
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  The AI Pocket BookA neural language model trained on large text corpora to predict and generate natural language.
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  Deep Learning with JAXA large neural language model used for language-modeling tasks such as generation, training, fine-tuning, and serving.
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  Build a Reasoning Model (From Scratch)A neural language model trained on large text corpora to predict and generate text.
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  Learn AI-Assisted Python Programming, Second EditionA large language model is a machine-learning model that represents statistical relationships among language elements and predicts sequences of text from context.
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  Data Without LabelsA large language model is a machine-learning model trained on very large text collections to understand and generate language.
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  Essential GraphRAGA large language model is a neural language model trained on extensive text data to generate human-like text by predicting token sequences.
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  Outlier Detection in PythonA large language model is a neural model trained on very large text corpora to process and generate natural language.
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  Machine Learning System DesignA large language model is a machine learning model trained on large text corpora to generate or transform language and perform related language tasks.
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  Build an AI Agent (From Scratch)A large language model is a neural language model trained on extensive text data that generates and interprets language.
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  Build a Large Language Model (From Scratch)A large neural language model trained on text to understand and generate language, typically using transformer self-attention.
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  Digital Twins in ActionA large language model is a machine-learning model trained on large text corpora to process and generate natural language, optionally incorporating visual inputs.
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  Hugging Face in ActionA large language model is a high-capacity neural model trained on large text corpora to process and generate language.
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  A Pythonic Adventure: From Python basics to a working web appA language model is a computational model trained on text or other language data to represent patterns and relationships in language.
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  Snowflake Data EngineeringA large language model is a model trained to process, generate, and transform human language.
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  AI-Powered Developer: Build software with ChatGPT and CopilotA large language model is a deep learning model trained to process and generate human language and other text-like sequences.
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  Data-Driven CybersecurityA neural model trained on extensive text data to predict and generate language.
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  Microsoft Azure in ActionA large language model is a machine-learning model trained on large text corpora to generate or transform natural-language content.
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  Domain-Specific Small Language ModelsA very large neural language model trained on broad text corpora to predict or generate language, used here for code generation and assistance.
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  Writing for Developers: Blogs that get readA machine-learning model trained on large text corpora to predict and generate natural-language sequences.
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  AI Agents in Action, Second EditionA large language model is a machine-learning model that generates and interprets language using patterns learned from extensive text data.
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  Machine Learning for Tabular Data: XGBoost, Deep Learning, and AIA large language model is a machine-learning model trained on large text corpora to understand and generate language sequences.
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  Spring AI in ActionA large language model is a machine-learning model trained on extensive text data to understand and generate natural-language content.
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  Data Pipelines with Apache Airflow, Second EditionA large language model is a machine learning model trained on extensive text data to understand and generate natural-language text.
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  Transformers in ActionA large language model is a neural language model trained on large text corpora to predict and generate natural-language sequences.
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  Data Storytelling with Altair and AIA large language model is a neural language model with many learned parameters that generates or transforms text based on input context.
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  AI Agents in ActionA large language model is a neural language model trained on extensive text data to generate and transform natural-language content.
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  Automating API DeliveryA large language model is a machine-learning model trained on extensive text data to generate and transform natural-language or code-based content.
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  MongoDB 8.0 in Action, Third EditionA large language model is a machine learning model with many parameters trained to process and generate natural language.
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  Just Use Postgres!An LLM is a large language model trained to understand and generate natural-language text.
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  Build a Text-to-Image Generator (from Scratch)A language model is a model that processes or generates human language, typically as sequences of text.
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  Everyday Data VisualizationA large language model is a machine-learning model trained on extensive text data to process and generate human language.
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  Build a Website with ChatGPTA large language model is a machine-learning model trained on extensive text data to generate and transform natural-language content.
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  Authorization in ActionA large language model is a machine-learning model trained on extensive text data to process and generate language.
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  Kafka for ArchitectsInference is the generation of model predictions from input data using a trained machine-learning model.
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  Building Reliable AI SystemsA model that represents patterns in language to predict or generate sequences of text.
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  Building LLM Applications with DSPyA language model is a machine-learning model that generates or evaluates language based on textual context.

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Related concepts

• retrieval-augmented generationused by · Retrieval-augmented generation is a technique that retrieves relevant information from external sources and supplies it as context to a generative model when producing an output.
• promptused by · An input, typically containing instructions or context, supplied to an artificial-intelligence model to guide or elicit its output.
• AI agentused by · An AI agent is a computational system that uses artificial intelligence to interpret information, select actions, and pursue goals through interaction with an environment.
• generationproduces · Generation is the computational production of outputs from supplied inputs or context, often by applying a model to produce predictions or new content.
• ChatGPTincludes · ChatGPT is OpenAI’s conversational AI service, which lets users interact with generative AI models and related tools through natural-language prompts.
• machine learningkind of · Machine learning is a field of computational methods in which systems learn patterns or relationships from data to make predictions, decisions, or other outputs.

This explainer was generated by Manning's knowledge graph from the text of Statistics Every Programmer Needs. The section links point to the parts of the book it draws on.