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목록ai (19)
A Joyful AI Research Journey🌳😊
ChatGPT, OpenAI Algorithms: An algorithm is a step-by-step procedure or formula for solving a problem. It's about the 'how' – how to perform a task, how to process data, how to solve a particular problem. Algorithms are used for a wide range of purposes in computer science, from data sorting and searching to complex problem-solving in various domains. They are the methods or processes followed t..
ChatGPT, OpenAI For research in computer vision, a subfield of Artificial Intelligence (AI) focusing on enabling machines to interpret and understand visual data from the world, all three areas – computer science, mathematics, and statistics – play vital roles, but their importance can be contextualized as follows: Computer Science: This is highly critical in computer vision. It provides the fou..
The famous blog posts by Tim Urban discussing the AI revolution can be accessed through the following links: "The AI Revolution: The Road to Superintelligence" (January 22, 2015): This article, which is the first part of a two-part series, delves into the evolution and future potential of artificial intelligence, exploring the concept of superintelligence and its implications. You can read it on..
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 ..
https://roadmap.sh/ai-data-scientist AI and Data Scientist Roadmap Learn to become an AI and Data Scientist using this roadmap. Community driven, articles, resources, guides, interview questions, quizzes for modern backend development. roadmap.sh
https://translab.lv/en/machine-translation-smt-vs-nmt/ Machine translation (SMT VS NMT) • Translab NMT systems provide more natural and accurate translations than SMT, but require more computing resources to train and use. translab.lv Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) are both methods of machine translation, but they differ in how they model the relations..
Deep-translator in Python: A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators. Batch translation: Batch translate allows you to enter texts in one language which correspond to texts in another language. https://www.qblocks.cloud/blog/natural-language-processing-machine-translation#:~:text=In%20short%2C%20NLP%20gives%20the..
https://www.marktechpost.com/2023/07/23/16-ai-tools-to-speed-up-your-work/ 16 AI Tools to Speed Up Your Work Motion Motion is a clever tool that uses AI to create daily schedules that account for your meetings, tasks, and projects. Say goodbye to the hassle of planning and hello to a more productive life. BeforeSunset AI To aid its users in effective time managem www.marktechpost.com https://ope..