Glossary · letter C
AI terms starting with C.
55 entries that start with C, each with its Nepali equivalent and a plain-language definition. Click any term to open its dedicated page.
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Caching
क्यासिङ
Storing frequently used results so they can be returned quickly without recomputing.
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Calibration
क्यालिब्रेसन
How well a model's predicted probabilities match the actual frequencies of outcomes.
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Camera Calibration
क्यामेरा क्यालिब्रेसन
Determining a camera's properties to correct distortion and measure accurately.
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Carbon Footprint (AI)
कार्बन फुटप्रिन्ट (एआई)
The greenhouse-gas emissions caused by training and running AI systems.
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Catastrophic Forgetting
विनाशकारी विस्मरण
When a model learning a new task abruptly loses its ability on previous tasks.
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Categorical Variable
वर्गीय चर
A variable that takes one of a limited set of categories, like color or country.
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Causation
कारणता
A relationship where one event directly produces another, beyond mere correlation.
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Center of Excellence (CoE)
उत्कृष्टता केन्द्र
A dedicated team that sets standards and shares expertise for AI across an organization.
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Chain-of-Thought
चेन-अफ-थट / विचार शृङ्खला
Prompting a model to reason step by step, improving accuracy on complex problems.
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Change Management
परिवर्तन व्यवस्थापन
Guiding people and processes through the adoption of new technology like AI.
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Channel
च्यानल
A separate layer of information in data, such as the red, green, or blue in an image.
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Chatbot
च्याटबोट / कुराकानी बोट
A program that converses with people through text or voice, often powered by AI.
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Checkpoint
चेकपोइन्ट
A saved snapshot of a model's state during training so it can be resumed or reused.
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Chunking
चन्किङ / टुक्र्याउने
Splitting long documents into smaller pieces for indexing and retrieval.
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Churn Prediction
ग्राहक छुट्ने अनुमान
Using models to predict which customers are likely to stop using a product or service.
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CI/CD
सीआई/सीडी
Practices that automatically test and release software changes quickly and reliably.
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Citizen Developer
नागरिक विकासकर्ता
A non-technical employee who builds applications using low-code or no-code tools.
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Class Imbalance
वर्ग असन्तुलन
When some categories have far more examples than others, biasing a model.
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Classification
वर्गीकरण
A task where the model assigns inputs to one of several predefined categories.
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Classifier-Free Guidance
क्लासिफायर-फ्री गाइडेन्स
A technique that strengthens how closely a generated image follows the prompt.
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Cloud Computing
क्लाउड कम्प्युटिङ
Renting computing power and storage over the internet instead of owning hardware.
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Cluster (Compute)
क्लस्टर (गणना)
A group of connected computers working together as one powerful system.
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Clustering
क्लस्टरिङ / समूहीकरण
Grouping similar data points together without using predefined labels.
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Co-creation
सह-सिर्जना
A workflow where humans and AI collaborate iteratively to produce creative work.
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Cognitive Science
संज्ञानात्मक विज्ञान
The interdisciplinary study of the mind that informs how AI models intelligence.
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Cold Start
कोल्ड स्टार्ट
The delay or difficulty when a system or model runs for the first time after being idle.
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Collaborative Filtering
सहयोगी छनोट
Recommending items by finding users with similar tastes and patterns.
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Common Sense Reasoning
सामान्य बुद्धि तर्क
The ability to make everyday assumptions humans take for granted, still hard for AI.
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Compliance
अनुपालन
Meeting the legal, regulatory, and policy requirements that apply to a system.
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Computer Vision
कम्प्युटर भिजन / कम्प्युटर दृष्टि
The field of AI that enables computers to interpret and understand images and video.
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Conditioning
कन्डिसनिङ
Guiding a generative model's output using extra inputs like text, images, or labels.
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Confidence Score
विश्वास अंक
A number expressing how certain a model is about a particular prediction.
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Confounding Variable
भ्रामक चर
A hidden factor that influences both variables, creating a misleading association.
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Confusion Matrix
कन्फ्युजन म्याट्रिक्स
A table showing correct and incorrect predictions broken down by class.
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Consent (Data)
सहमति (डाटा)
Obtaining a person's permission before collecting or using their data.
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Constraint Satisfaction
अवरोध सन्तुष्टि
Finding values for variables that satisfy a set of given rules or limits.
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Container
कन्टेनर
A packaged environment that bundles a model and its dependencies to run consistently anywhere.
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Content Moderation
सामग्री नियमन
Reviewing and filtering content to remove harmful, illegal, or policy-violating material.
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Content-Based Filtering
सामग्री-आधारित छनोट
Recommending items similar to what a user already liked, based on item features.
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Context Window
सन्दर्भ विन्डो
The maximum amount of text a model can consider at once when generating a response.
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Continuous Variable
निरन्तर चर
A variable that can take any numeric value within a range, like height or price.
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Contour
कन्टुर / रूपरेखा
A curve joining points of equal value, used to outline shapes in an image.
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Convergence
अभिसरण
The point at which further training stops meaningfully improving a model.
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Conversational AI
संवादात्मक एआई
AI systems that interact with people through natural spoken or written dialogue.
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Convolutional Neural Network (CNN)
कन्भोलुसनल न्युरल नेटवर्क
A neural network specialized for images that detects spatial patterns like edges and shapes.
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Copilot
कोपाइलट / सहचालक
An AI assistant that works alongside a person to speed up tasks like coding or writing.
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Coreference Resolution
सहसन्दर्भ समाधान
Determining which words in a text refer to the same entity, like 'she' and a name.
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Corpus
कोर्पस / पाठ सङ्ग्रह
A large, structured collection of text used to train or study language models.
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Correlation
सहसम्बन्ध
A statistical measure of how strongly two variables move together.
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Cost Function
लागत फंक्सन
A function measuring total model error that training tries to minimize.
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Covariance
सहप्रसरण
A measure of how two variables change together, positively or negatively.
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Cross-Entropy
क्रस-एन्ट्रोपी
A loss function measuring the gap between predicted and true probability distributions.
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Cross-Validation
क्रस-भ्यालिडेसन
A technique that splits data into multiple parts to test a model more reliably.
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Curse of Dimensionality
आयामको अभिशाप
Problems that arise when data has too many features, making learning harder.
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Customer Segmentation
ग्राहक विभाजन
Grouping customers by shared traits to target products and messaging more effectively.