Prompt

Türkçe: Prompt (istem)

The text input given to an AI model that describes the task and expectations.

// EXPLANATION

A good prompt states the role, context, desired format and examples clearly. A model may answer the same question differently when it is worded differently, which is why prompt engineering is a skill developed by experimenting.

// ALSO KNOWN AS

promptprompts

// RELATED TERMS

LLM (large language model)A neural network trained on very large amounts of text that generates text by probabilistically predicting the next piece (token) of a sequence. TokenThe smallest unit into which a language model splits text; it can be a word, part of a word or a punctuation mark. HallucinationWhen a language model presents information that does not exist as though it were true, in a confident tone.

// ARTICLES THAT MENTION THIS TERM

ARTIFICIAL_INTEL ARTIFICIAL_INTEL November 3, 2026 Stop Telling Gemini 3.1 Pro to "Think Step-by-Step" (Guide) For years, "Let's think step-by-step" was the golden rule of prompt engineering. Discover why applying legacy Chain-of-Thought prompts to native System 2 reasoning models like Gemini 3.1 Pro forces linear path-locking and doubles token costs—and how to switch to the Constraint-Boundary-Verification (C-B-V) framework. 6 MIN READ #GEMINI_3.1_PRO

ARTIFICIAL_INTEL ARTIFICIAL_INTEL November 3, 2026 How to Use Gemini 3.1 Pro Advanced Reasoning: Full Guide Move beyond impulsive next-token prediction with Google Gemini 3.1 Pro. We break down the mathematics of Test-Time Compute scaling, internal Chain-of-Thought tree search, self-correction backtracking, and how to structure constraint-driven engineering and software architecture prompts. 6 MIN READ #GEMINI_3.1_PRO

ARTIFICIAL_INTEL ARTIFICIAL_INTEL November 3, 2026 How to Use Gemini 3.8 Flash: Complete Developer & AI Guide Discover why Gemini 3.8 Flash is the ultimate everyday workhorse for engineers and creators. We break down how Speculative Decoding and configurable Thinking Budgets combine sub-second streaming speeds with deep reasoning across a massive 2-million-token multimodal context window. 5 MIN READ #GEMINI_3.8_FLASH

ARTIFICIAL_INTEL ARTIFICIAL_INTEL November 2, 2026 How to Use Gemini 3.5 Flash-Lite: Complete Beginner Guide Stop overpaying for slow, heavyweight AI models on high-volume tasks. Learn how Gemini 3.5 Flash-Lite leverages Knowledge Distillation to deliver sub-200ms Time-to-First-Token (TTFT) latency at a fraction of the cost—complete with free Google AI Studio setup, Python SDK code, and structured JSON prompts. 6 MIN READ #GEMINI_3.5_FLASH-LITE

ARTIFICIAL_INTEL ARTIFICIAL_INTEL November 2, 2026 Google Gemini Architecture: Native Multimodal AI Physics Go inside the neural architecture of Google Gemini. Unlike cascaded systems that bolt separate vision and speech adapters onto a text-only LLM, Gemini is trained as a single Natively Multimodal Transformer—fusing text, code, audio waveforms, and video frames inside one shared cross-attention vector space. 6 MIN READ #GOOGLE_GEMINI

ARTIFICIAL_INTEL ARTIFICIAL_INTEL November 1, 2026 Leonardo.Ai Flow State Guide: Infinite Style & Visual Lock Overcome prompt paralysis with Leonardo.Ai Flow State. We break down how latent space vector perturbation transforms a 4-word idea into an infinite scrolling waterfall of lighting, camera angles, and art styles—and how clicking "More Like This" locks your exact visual identity. 6 MIN READ #LEONARDO_FLOW_STATE

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