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Glossary

Mobile & AI Glossary

Short, practical definitions for app store growth, mobile engineering, AI workflows, and product vocabulary — written for builders, not textbooks.

Showing 115 of 1000 terms · page 1 of 67

AI & LLMs

Large Language Model

Large Language Model is an AI and LLM concept for using transformer models trained on text to generate and reason over language so product teams ship reliable intelligence features faster.

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AI & LLMs

GPT-4o

GPT-4o is an AI and LLM concept for building multimodal features on OpenAI's GPT-4o model family so product teams ship reliable intelligence features faster.

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AI & LLMs

Claude Model

Claude Model is an AI and LLM concept for integrating Anthropic Claude models for long-context and safety-sensitive tasks so product teams ship reliable intelligence features faster.

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AI & LLMs

Gemini Model

Gemini Model is an AI and LLM concept for calling Google Gemini models for text, code, and vision workloads so product teams ship reliable intelligence features faster.

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AI & LLMs

OpenAI API

OpenAI API is an AI and LLM concept for accessing OpenAI models through authenticated HTTP APIs from your backend so product teams ship reliable intelligence features faster.

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AI & LLMs

Chat Completions API

Chat Completions API is an AI and LLM concept for sending role-based message arrays to generate assistant replies so product teams ship reliable intelligence features faster.

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AI & LLMs

Responses API OpenAI

Responses API OpenAI is an AI and LLM concept for using OpenAI's Responses API for stateful agent-style interactions so product teams ship reliable intelligence features faster.

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AI & LLMs

Assistants API

Assistants API is an AI and LLM concept for managing persistent assistants with files, tools, and thread history so product teams ship reliable intelligence features faster.

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AI & LLMs

Embeddings Model

Embeddings Model is an AI and LLM concept for converting text into dense vectors for similarity and retrieval so product teams ship reliable intelligence features faster.

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AI & LLMs

Vector Embedding

Vector Embedding is an AI and LLM concept for representing meaning as numeric vectors for nearest-neighbor lookup so product teams ship reliable intelligence features faster.

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AI & LLMs

Semantic Search

Semantic Search is an AI and LLM concept for finding content by meaning rather than exact keyword overlap so product teams ship reliable intelligence features faster.

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AI & LLMs

RAG Retrieval Augmented Generation

RAG Retrieval Augmented Generation is an AI and LLM concept for grounding LLM answers with retrieved documents from your knowledge base so product teams ship reliable intelligence features faster.

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AI & LLMs

Chunking Strategy RAG

Chunking Strategy RAG is an AI and LLM concept for splitting documents into retrieval-friendly segments with overlap and metadata so product teams ship reliable intelligence features faster.

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AI & LLMs

Vector Database

Vector Database is an AI and LLM concept for indexing embeddings for fast approximate nearest-neighbor search at scale so product teams ship reliable intelligence features faster.

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AI & LLMs

Pinecone

Pinecone is an AI and LLM concept for hosting managed vector indexes for RAG and recommendation workloads so product teams ship reliable intelligence features faster.

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