Glossary · letter M
AI terms starting with M.
31 entries that start with M, each with its Nepali equivalent and a plain-language definition. Click any term to open its dedicated page.
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Machine Learning (ML)
मेसिन लर्निङ
A branch of AI where computers learn patterns from data instead of being explicitly programmed with rules.
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Machine Translation
मेसिन अनुवाद
Automatically translating text or speech from one language to another.
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Marketing Automation
मार्केटिङ स्वचालन
Using software and AI to run targeted campaigns and customer outreach automatically.
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Markov Decision Process
मार्कोभ निर्णय प्रक्रिया
A mathematical framework for decision-making where outcomes are partly random.
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Masked Language Modeling
मास्क्ड भाषा मोडेलिङ
Training a model by hiding some words and asking it to predict them.
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Matrix Factorization
म्याट्रिक्स फ्याक्टराइजेसन
Breaking a large matrix into smaller ones to uncover patterns, common in recommenders.
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Mean / Average
औसत
The sum of values divided by how many there are, a common measure of central tendency.
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Mean Absolute Error (MAE)
माध्य निरपेक्ष त्रुटि
A regression metric averaging the absolute differences between predictions and truth.
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Mean Squared Error (MSE)
माध्य वर्ग त्रुटि
A regression metric averaging the squared differences between predictions and true values.
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Median
मध्यिका
The middle value when data is sorted, less affected by extremes than the mean.
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Memory (AI)
मेमोरी (एआई)
A system that lets an AI retain information across turns or sessions.
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Metadata
मेटाडाटा
Data that describes other data, such as a file's date, size, or author.
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Microservices
माइक्रोसर्भिसेस
An architecture that builds an application as many small, independent services.
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Minimax
मिनिम्याक्स
A decision rule in game-playing AI that minimizes the worst-case loss.
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Misinformation
गलत सूचना
False or misleading information spread regardless of intent, which AI can amplify.
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Missing Data
हराएको डाटा
Values absent from a dataset that must be handled before modeling.
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Mixture of Experts (MoE)
मिक्स्चर अफ एक्स्पर्ट्स
An architecture that routes each input to a few specialized sub-networks for efficiency.
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MLOps
एमएलअप्स
Practices for deploying, monitoring, and maintaining machine learning models in production.
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Mode
बहुलक
The value that appears most often in a dataset.
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Model
मोडेल
The output of a machine learning process — a system that has learned patterns from data and can make predictions on new data.
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Model Card
मोडेल कार्ड
A document describing a model's purpose, performance, limits, and intended use.
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Model Drift
मोडेल ड्रिफ्ट
The gradual decline in a model's accuracy as real-world data changes over time.
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Model Registry
मोडेल रजिस्ट्री
A managed catalog that tracks model versions, metadata, and deployment status.
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Model Serving
मोडेल सर्भिङ
Hosting a trained model so applications can send it requests and get predictions.
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Momentum
मोमेन्टम
An optimization trick that uses past updates to speed up and smooth learning.
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Monitoring
अनुगमन
Continuously tracking a deployed system's health, performance, and errors.
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Multi-Agent System
बहु-एजेन्ट प्रणाली
Multiple AI agents that interact, cooperate, or compete to solve problems.
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Multi-Armed Bandit
मल्टी-आर्म्ड ब्यान्डिट
A problem of choosing among options with uncertain rewards to maximize total gain.
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Multi-Head Attention
मल्टी-हेड एटेन्सन
Running several attention operations in parallel to capture different relationships.
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Multimodal AI
बहुविध एआई
AI that can understand and combine multiple data types, such as text, images, and audio.
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Music Generation
सङ्गीत सिर्जना
Using AI to compose original melodies, harmonies, or full tracks.