Deep Learning, NLP, NMT, AI, ML
Interactive Quiz ⋅ 6 QuestionsBy Bartosz Zaczyński Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of the basic characteristics and operations of Python mappings. By working through this quiz, you’ll revisit the key concepts and techniques of creating a custom mapping. The quiz contains 6 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end
Read more
One of the main data structures you learn about early in your Python learning journey is the dictionary. Dictionaries are the most common and well-known of Python’s mappings. However, there are other mappings in Python’s standard library and third-party modules. Mappings share common characteristics, and understanding these shared traits will help you use them more effectively. Take the Quiz: Test your knowledge with our interactive “Python Mappings” quiz. You’ll receive a score upon completion to help you track your learning […]
Read moreWelcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH RELEVANCE: Automatic evaluation framework for LLM responses Relevance in AI refers to the usefulness of information or actions to a specific task or query. It helps determine the accuracy, effectiveness, efficiency, and user satisfaction of content from search engines, chatbots, and other AI systems. RELEVANCE (Relevance and Entropy-based
Read moreGetting a list of all the files and folders in a directory is a natural first step for many file-related operations in Python. When looking into it, though, you may be surprised to find various ways to go about it. When you’re faced with many ways of doing something, it can be a good indication that there’s no one-size-fits-all solution to your problems. Most likely, every solution will have its own advantages and trade-offs. This is the case when it […]
Read moreThis paper was presented at the ACM SIGMOD/Principles of Database Systems Conference (opens in new tab) (SIGMOD/PODS 2024), the premier forum on large-scale data management and databases. In today’s fast-paced digital landscape, data analysts are increasingly dependent on analytics dashboards to monitor customer engagement and app performance. However, as data volumes increase, these dashboards can slow down, leading to delays and inefficiencies. One solution is to
Read more
May was packed with exciting updates and events in the Python community. This month saw the release of the first beta version of Python 3.13, the conclusion of PyCon US 2024, and the announcement of the keynote speakers for EuroPython 2024. Additionally, PEP 649 has been delayed until the Python 3.14 release, and the Python Software Foundation published its 2023 Annual Impact Report. Get ready to explore the recent highlights! The First Beta Version of Python 3.13 Released After nearly […]
Read moreThis paper was presented at the ACM SIGMOD/Principles of Database Systems Conference (opens in new tab) (SIGMOD/PODS 2024), the premier forum on large-scale data management and databases. As organizations grapple with ever-expanding datasets, the adoption of data lakes has become a vital strategy for scalable and cost-effective data management. The success of these systems largely depends on the file formats used to store the
Read more
Image by Author A loss function in machine learning is a mathematical formula that calculates the difference between the predicted output and the actual output of the model. The loss function is then used to slightly change the model weights and then check whether it has improved the model’s performance. The goal of machine learning algorithms is to minimize the loss function in order to make accurate predictions. In this blog, we will learn about the 5 most commonly used […]
Read moreInteractive Quiz ⋅ 6 QuestionsBy Leodanis Pozo Ramos Share Or copy the link: Copied! Happy Pythoning! Test your understanding of Python’s tools for string formatting, including f-strings, the .format() method, and the modulo operator. Take this quiz after reading our Python String Formatting: Available Tools and Their Features tutorial. The quiz contains 6 questions and there is no time limit. You’ll get 1 point for each correct answer. At the
Read more
Here are short summaries of three pre-prints that I enjoyed reading in May. Zero-Shot Tokenizer Transfer Folks from the University of Cambridge and the Univerisity of Edinburgh propose a nice trick for changing the vocabulary of an already trained language model. They train a hyper-network (a neural network that predicts parameters of a different neural network) that predicts what embeddings a token would have if it were trained with the rest of the model. For each training batch, they build […]
Read more