Language model

Q: How deeply does Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI cover language model?

Explains major task categories and practical analytics uses, but does not detail training procedures or model internals.

As explained in Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

A large language model is a machine-learning model trained on large text corpora to understand and generate language sequences.

A large language model is trained on large text corpora to understand and generate language sequences. It can generate text, extract information, classify meaning, transform wording, and answer questions. section 1.5

For data work, language models act as practical assistants: they can engineer features from textual columns, write Python processing functions and regular expressions, interpret results, and summarize reports. section 1.5

Text columns in a dataset

A model can summarize customer comments, categorize them, identify themes, generate processing code, and support analysis of a CSV with preprocessing, charts, and report generation. section 1.5

How Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI covers it

Cover of Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

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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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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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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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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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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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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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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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Snowflake Data EngineeringA large language model is a model trained to process, generate, and transform human language.
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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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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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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 Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI. The section links point to the parts of the book it draws on.