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  2. Attention (machine learning) - Wikipedia

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

    Self-attention is essentially the same as cross-attention, except that query, key, and value vectors all come from the same model. Both encoder and decoder can use self-attention, but with subtle differences. For encoder self-attention, we can start with a simple encoder without self-attention, such as an "embedding layer", which simply ...

  3. File:Decoder self-attention with causal masking, detailed ...

    en.wikipedia.org/wiki/File:Decoder_self...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  4. Transformer (deep learning architecture) - Wikipedia

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

    Each encoder layer consists of two major components: a self-attention mechanism and a feed-forward layer. It takes an input as a sequence of input vectors, applies the self-attention mechanism, to produce an intermediate sequence of vectors, then applies the feed-forward layer for each vector individually.

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  6. Link-local address - Wikipedia

    en.wikipedia.org/wiki/Link-local_address

    Link-local addresses may be assigned manually by an administrator or by automatic operating system procedures. In Internet Protocol (IP) networks, they are assigned most often using stateless address autoconfiguration, a process that often uses a stochastic process to select the value of link-local addresses, assigning a pseudo-random address that is different for each session.

  7. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...

  8. Mesh networking - Wikipedia

    en.wikipedia.org/wiki/Mesh_networking

    A mesh network is a local area network topology in which the infrastructure nodes (i.e. bridges, switches, and other infrastructure devices) connect directly, dynamically and non-hierarchically to as many other nodes as possible and cooperate with one another to efficiently route data to and from clients.

  9. Wireless ad hoc network - Wikipedia

    en.wikipedia.org/wiki/Wireless_ad_hoc_network

    A wireless ad hoc network [1] (WANET) or mobile ad hoc network (MANET) is a decentralized type of wireless network.The network is ad hoc because it does not rely on a pre-existing infrastructure, such as routers or wireless access points.