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2. Distributed artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Distributed_artificial...

   Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision-making problems.It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources.

3. Federated learning - Wikipedia

   en.wikipedia.org/wiki/Federated_learning

   Diagram of a Federated Learning protocol with smartphones training a global AI model. Federated learning (also known as collaborative learning) is a machine learning technique focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1]

4. List of datasets for machine-learning research - Wikipedia

   en.wikipedia.org/wiki/List_of_datasets_for...

   Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...

5. Multi-agent system - Wikipedia

   en.wikipedia.org/wiki/Multi-agent_system

   Simple reflex agent Learning agent. A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. [1] Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. [2]

6. BLOOM (language model) - Wikipedia

   en.wikipedia.org/wiki/BLOOM_(language_model)

   BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [ 3 ]

7. Artificial intelligence engineering - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   The workload during the model design and training phase depends significantly on whether the engineer is building the model from scratch or fine-tuning an existing one. When creating a model from scratch, AI engineers must design the entire architecture, selecting or developing algorithms and structures that are suited to the problem.

8. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [ 2 ] Its popularity results in a vast ecosystem of libraries , including for deep learning , such as PyTorch , TensorFlow , Keras , Google JAX .

9. Applications of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Applications_of_artificial...

   GitHub Copilot is an artificial intelligence model developed by GitHub and OpenAI that is able to autocomplete code in multiple programming languages. [357] Price for individuals: $10/mo or $100/yr, with one free month trial. Tabnine was created by Jacob Jackson and was originally owned by Tabnine company.