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177 guide yu leer ci Àngle, yooni jàng yuñ yamale, ak bibliotek bu ubbeeku — bi 501(c)(3) mbootaay bu moom boppam tabax ngir ku nekk mëna xam IA bu bees bi.

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177 de 1019 tegtal yi ñu wane. Seggal ci track wala seetlu ci kaw.

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Références IA

An AI benchmark is a defined set of tasks, data, and scoring rules used to compare systems.

2 min lireLiir
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Chips & aparey IA

Aparey IA dafay def ay jëf ci nimero yi ñuy jëfandikoo ngir tàggat ak doxal ay model.

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Jàng buy dooleel

Reinforcement learning trains an agent to choose actions using feedback about their consequences.

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IA & Robotik

AI and robotics combine perception, planning, control, and physical action.

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Akordement bu baax

Fine-tuning continues training an existing model on a selected dataset or objective.

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Recuperation-Augmenté Generation (RAG)

Retrieval-augmented generation, or RAG, supplies retrieved material to a generative model when answering a request.

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Base de done vecteur

A vector database stores numerical representations and retrieves records using a similarity measure, often alongside metadata filters.

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Edge IA

Edge AI runs model processing close to where data is collected or used, such as on a phone, camera, vehicle, or local gateway.

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IA kwantum

Quantum AI describes intersections between quantum computing and machine learning, such as using quantum circuits in learning algorithms or using machine…

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Seetlu IA

AI observability uses measurements and records to understand how an AI application behaves.

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Modèlu IA

Model monitoring checks whether a deployed model and its inputs continue to behave as expected.

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IA

Inference optimization reduces the resources or time required to run a model while preserving the quality needed for its task.

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