Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality ...

We use PyTorch to build the LSTM encoder-decoder in lstm_encoder_decoder.py. The LSTM encoder takes an input sequence and produces an encoded state (i.e., cell state and hidden state). We feed the ...

Warm-starting encoder-decoder models with 🤗Transformers (Practice) - Complete code example showcasing in-detail how to use the EncoderDecoderModel framework to warm-start transformer-based ...

A study published on September 12, 2024, evaluated encoder-decoder and decoder-only models in multilingual MT tasks, focusing on Indian regional languages such as Telugu, Tamil, and Malayalam. In this ...

Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces.

Making your own infrared (IR) sniffer is not only rewarding but also amazingly simple. I’m talking about an IR decoder/encoder that primarily decodes the invisible data transmitting from an IR remote ...

An implementation of chaotic encoder-decoder on FPGA will be proposed in this paper. Overflow non-linearity by using 2's complement number in digital filter causes the phenomenon called "Chaos" in ...