The transformer consists of a encoder (encoder ... we have the attention mechanism that allows the LLM to focus on unique parts of the input text that are relevant to the assigned task. This layer ...

The BCH encoder/decoder provides error correction code (ECC) capabilities for applications such as data storage and transmission. BCH is optimal for applications ...

TC4400 is a LDPC decoder core that is fully compliant with ITU G.hn (wireline home networking) specifications. It support a decoded throughput up to 1 Gbits/s on high end process nodes. The core is ...

It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM ...

Today, on National Dolphin Day, researchers from Google LLC, Georgia Tech and the Wild Dolphin Project announced DolphinGemma, an artificial foundation model trained on the structure of dolphin ...

In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain perception ... Experiments show that the proposed method effectively reduces ...

The AMS-MLP model consists of three core components: the encoder network ... employs self-attention to extract multi-scale features and local information automatically. The decoder network in the ...