enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

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. Horovod (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Horovod_(machine_learning)

   Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI). [3] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model. [4]

5. Machine learning - Wikipedia

   en.wikipedia.org/wiki/Machine_learning

   Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices.

6. Mamba (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Mamba_(deep_learning...

   This can affect the model's understanding and generation capabilities, particularly for languages with rich morphology or tokens not well-represented in the training data. Simplicity in Preprocessing : It simplifies the preprocessing pipeline by eliminating the need for complex tokenization and vocabulary management, reducing the preprocessing ...

7. 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 ]