What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality and inference efficiency compared to their decoder-only counterparts. It is ...

We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...

This is the code implementation for the paper: Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation The paper is still under review. We currently provide ...

We fabricated and tested encoders and decoders based on a multiplex, DNA-based electrochemical biosensor that uses electronic (electrochemical) signals as its readout. These devices use two or more ...

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 ...