This video is an excerpt taken from our Generative AI Nanodegree program: https://www.udacity.com/course/generative-ai--nd608?utm_source=organicsocial&utm_me...

Learn about the Transformer model and the the difference between Encoder and Decoder model architectures in this online lesson from Udacity, taught by instructor Emily McMilin, an AI …

Jun 17, 2023 · Fundamentally, both encoder- and decoder-style architectures use the same self-attention layers to encode word tokens. However, the main difference is that encoders are …

A prompt injection attack on Large Language Models (LLMs) is a type of threat where an attacker deliberately crafts and inputs a prompt designed to manipulate the model into performing …

Apr 2, 2025 · Encoder-decoder models are particularly well-suited for tasks where an input sequence needs to be transformed into a different output sequence. The encoder excels at …

Encoder - accepts the input data and converts it into an abstract continuous representation that captures the main characteristics of the input. Decoder - translates the continuous …

May 26, 2025 · Encoder-only: Mask language model traning (bidirectional), then add classification heads for downstream training tasks. Decoder-only: Causal Language Modeling …

Mar 27, 2025 · Two key architectures are Encoder-Decoder models and Decoder-only models. Let’s dive into how they work and what sets them apart. These models consist of two main …

There are broadly two categories of LLMs: Encoder-Decoder architecture (typified by BERT) and Decoder only architecture (typified by GPT-2 series). There are some innate differences …

Encoders, decoders, and encoder-decoder models are fundamental components in natural language processing and machine learning. These architectures form the basis for many …