4. Working Principle of Attention Models in Encoder-Decoder Architectures

Attention mechanism is the core component of transformer models and plays a crucial role in LLM models. Let’s consider the task of translating the sentence “the cat ate the mouse” from English to French. One approach is to use an encoder-decoder model, a popular choice for sentence translation. Read the following for a revision of Encoder-Decoder Architecture: <h2><a href="https://aaweg-i.medium.com/the-encoder-decoder-architecture-powering-large-language-models-417a8d9d83ab?source=post_page-----15c2507bd4e8--------------------------------" rel="noopener follow" target="_blank">The Encoder-Decoder Architecture: Powering Large Language Models</a></h2> <h3><a href="https://aaweg-i.medium.com/the-encoder-decoder-architecture-powering-large-language-models-417a8d9d83ab?source=post_page-----15c2507bd4e8--------------------------------" rel="noopener follow" target="_blank">In the realm of large language models, the encoder-decoder architecture serves as a fundamental framework. In this…</a></h3> <a href="https://aaweg-i.medium.com/the-encoder-decoder-architecture-powering-large-language-models-417a8d9d83ab?source=post_page-----15c2507bd4e8--------------------------------" rel="noopener follow" target="_blank">aaweg-i.medium.com</a> <img alt="" src="https://miro.medium.com/v2/resize:fit:1000/1*dov5zaeUxYaL2EEKSF5qPA.png" style="height:338px; width:1000px" /> credits: <a href="https://www.cloudskillsboost.google/course_templates/537" rel="noopener ugc nofollow" target="_blank">https://www.cloudskillsboost.google/course_templates/537</a> The encoder-decoder model translates one word at a time, processing each word sequentially. However, a challenge arises when the words in the source language don’t align perfectly with the words in the target language. For example, let’s take the sentence “Black cat ate the mouse.” In this case, the first English word is “black,” but in the translation, the first French word is “chat,” which means “cat” in English. <a href="https://ogre51.medium.com/4-working-principle-of-attention-models-in-encoder-decoder-architectures-15c2507bd4e8">Visit Now</a>