Categories: AI/ML Research

Building a Plain Seq2Seq Model for Language Translation

This post is divided into five parts; they are: • Preparing the Dataset for Training • Implementing the Seq2Seq Model with LSTM • Training the Seq2Seq Model • Using the Seq2Seq Model • Improving the Seq2Seq Model In

Encoders and Decoders in Transformer Models

This article is divided into three parts; they are: • Full Transformer Models: Encoder-Decoder Architecture • Encoder-Only Models • Decoder-Only Models The original transformer architecture, introduced in "Attention is All You Need," combines an encoder and decoder specifically designed for sequence-to-sequence (seq2seq) tasks like machine translation.

May 25, 2025

In "AI/ML Research"

Efficient Sequence Modeling for On-Device ML

Posted by Arun Kandoor, Software Engineer, Google Research The increasing demand for machine learning (ML) model inference on-device (for mobile devices, tablets, etc.) is driven by the rise of compute-intensive applications, the need to keep certain data on device for privacy and security reasons, and the desire to provide services…

August 31, 2022

Exploring summarization options for Healthcare with Amazon SageMaker

August 2, 2023

In "FAANG"

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20 seconds ago

Flux Kontext Zoom Out LoRA

https://civitai.com/models/1800528?modelVersionId=2037657 https://huggingface.co/reverentelusarca/flux-kontext-zoom-out-lora submitted by /u/sktksm [link] [comments]

11 seconds ago