Artificial intelligence

As explained in AI-Powered Search

Artificial intelligence is the capability of a computer program to perform tasks that previously required human intelligence.

Artificial intelligence is the capability of a computer program to perform a task that previously required human intelligence. In software, the term includes machine-learning systems and rules-based systems that produce human-like feedback. section 1.1

AI-powered search applies this broad definition to the pipeline for finding and ordering information:

• Matching finds documents that correspond to a query. section 1.1
• Ranking orders matched documents by relevance. section 1.1
• Preprocessing can improve query understanding, while postprocessing can extract answers or summarize results. section 1.1

Figure 1.1 AI-powered search includes all the technologies and techniques at the intersection of the fields of search and AI. These overlap heavily with and use the fields of data science, machine learning, and deep learning.

Use the figure to locate AI-powered search at the intersection of search, data science, machine learning, and deep learning. section 1.1

How AI-Powered Search covers it

How deep it goes

Defines AI broadly and distinguishes machine-learning from rules-based systems, but stops short of detailed algorithmic implementation.

Examples

Uses self-driving cars, autonomous robots, human-like feedback, web search, product search, enterprise search, and generative AI context retrieval.

How it connects

Connects artificial intelligence to machine learning, deep learning, data science, search, matching, ranking, and generative AI.

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Related concepts

• machine learningincludes · Machine learning is a field of computational methods in which systems learn patterns or relationships from data to make predictions, decisions, or other outputs.
• code reviewuses · Code review is the systematic examination of source code or proposed changes to identify problems and assess or improve quality.
• large language modelincludes · A large language model is a machine-learning model, typically neural, trained on extensive text data to process and generate language.
• dependencykind of · A software dependency is a component, resource, or prerequisite on which another software component or operation relies to function or proceed.
• generative modelingincludes · Generative modeling is a machine-learning approach that learns patterns or a data distribution to generate new samples resembling the data.
• language modelincludes · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.

This explainer was generated by Manning's knowledge graph from the text of AI-Powered Search. The section links point to the parts of the book it draws on.