A Joyful AI Research Journey🌳😊

ChatGPT, response to “Is it better to first understand seq2seq models in-depth and then use high-level libraries like Hugging Face or TensorFlow? Is this approach similar to studying theory first and then using a library?,” August 27, 2023, OpenAI. Yes, your understanding is on point. Let's delve into why this sequential approach of starting with seq2seq and then moving on to modern libraries li..

ChatGPT, response to “Can I use a seq2seq model for NMT using Hugging Face, Keras, or TensorFlow?” August 27, 2023, OpenAI. Yes, the seq2seq (sequence-to-sequence) model is a foundational architecture for NMT (Neural Machine Translation), and you can implement and train it using any of the mentioned frameworks: Hugging Face's Transformers, Keras, or TensorFlow. Here's a brief overview of how you..

ChatGPT, response to “Is NMT different from MT?,” August 24, 2023, OpenAI. NMT stands for "Neural Machine Translation," which is a subfield of MT (Machine Translation). NMT specifically refers to machine translation approaches based on deep learning and neural networks, while MT can refer to any automated method of translating text or speech from one language to another, including older methods ..