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MEVZU N°132ISTANBUL

MEVZU N° TAG / VOL. 155

#theory

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Wiki

09
§01Glossary

Foundation Model

A large-scale AI model pretrained on broad data that can be adapted to many downstream tasks.

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Foundation Model
TR
Temel Model (Foundation Model)
§02Glossary

Chinchilla Optimal

The DeepMind result showing that for a fixed compute budget, parameters and training data should grow in balance.

EN
Chinchilla Optimal
TR
Chinchilla Optimum
§03Glossary

Emergent Abilities

Capabilities that appear in models only above a certain scale and are absent in smaller variants.

EN
Emergent Abilities
TR
Ortaya Çıkan Yetenekler
§04Glossary

Frontier Model

The most capable AI models of their generation, often pushing both capability frontiers and novel risk profiles.

EN
Frontier Model
TR
Sınır Modeli
§05Glossary

Scaling Laws

Empirical relationships describing how model performance changes with parameters, data, and compute.

EN
Scaling Laws
TR
Ölçeklendirme Yasaları
§06Glossary

ASI — Artificial Superintelligence

A hypothetical AI that decisively surpasses human intelligence across virtually all cognitive tasks.

EN
ASI (Artificial Superintelligence)
TR
ASI — Yapay Süper Zeka
§07Glossary

Narrow AI

An AI system designed and limited to perform a single task or narrow domain.

EN
Narrow AI
TR
Dar Yapay Zeka
§08Glossary

AGI — Artificial General Intelligence

A hypothetical AI system matching or surpassing human intelligence across a broad range of cognitive tasks.

EN
AGI (Artificial General Intelligence)
TR
AGI — Yapay Genel Zeka
§09Glossary

Stochastic Parrot

A critique that LLMs reassemble training-data patterns probabilistically without genuine understanding.

EN
Stochastic Parrot
TR
Stokastik Papağan