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What Is Encoder-Decoder Architecture? Here’s All You Need to Know

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 ...
Analytics India Magazine

Google Launches T5Gemma to Reclaim Encoder-Decoder Architecture Benefits

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 ...
Slator

A Primer on Decoder-Only vs Encoder-Decoder Models for AI Translation

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, ...
GitHub

Return of the Encoder: Efficient Small Language Models

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 ...
IEEE

Physically Jacobian-Informed Encoder-Decoder ANNs for Nonlinear Power Flow Regression

Abstract: Power flow (PF) is the basis of steady-state analysis and control of power systems. The conventional model-driven PF formulated by a set of implicated nonlinear equations is solved ...
GitHub

JHU-CLSP/ettin-encoder-vs-decoder

🎯 TL;DR: State-of-the-art paired encoder and decoder models (17M-1B params) trained identically for fair comparison with open data. Encoders beat ModernBERT. Decoders beat Llama 3.2/SmolLM2. These ...