Deep Learning, NLP, NMT, AI, ML
Interactive Quiz ⋅ 6 QuestionsBy Martin Breuss Share Or copy the link: Copied! Happy Pythoning! In Python Basics: Lists and Tuples, you’ve met two new and important data structures: Both of these data types are sequences, meaning they are objects that contain other objects in a certain order. They each have some important distinguishing properties and come with their own set of methods for interacting with objects of each type. In this quiz, youll
Read moreInteractive Quiz ⋅ 19 QuestionsBy Martin Breuss Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of testing your Python code. Testing in Python is a huge topic and can come with a lot of complexity, but it doesn’t need to be hard. You can get started creating simple tests for your application in a few easy steps and then build on it from there. With this quiz, you
Read more
Image by Author | Created on Canva Machine learning presents transformative opportunities for businesses and organizations across various industries. From improving customer experiences to optimizing operations and driving innovation, the applications of machine learning are vast. However, adopting machine learning solutions is not without challenges. These challenges span across data quality, technical complexities, infrastructure requirements, and cost constraints amongst others. Understanding these challenges is important to come up with effective strategies to adopt ML solutions. Challenges in ML Adoption | […]
Read more
Image by Author AutoML is a tool designed for both technical and non-technical experts. It simplifies the process of training machine learning models. All you have to do is provide it with the dataset, and in return, it will provide you with the best-performing model for your use case. You don’t have to code for long hours or experiment with various techniques; it will do everything on its own for you. In this tutorial, we will learn about AutoML and […]
Read moreThe games industry has long been a frontier of innovation for AI. In the early 2000s, programmers hand-coded neural networks to breathe life into virtual worlds (opens in new tab), creating engaging AI characters (opens in new tab) that interact with players. Fast forward two decades, neural networks have grown from their humble beginnings to colossal architectures with billions of parameters, powering real-world applications like
Read moreInteractive Quiz ⋅ 11 QuestionsBy Leodanis Pozo Ramos Share Or copy the link: Copied! Happy Pythoning! Test your understanding of how to create and use Python protocols while providing type hints for your functions, variables, classes, and methods. Take this quiz after reading our Python Protocols: Leveraging Structural Subtyping tutorial. The quiz contains 11 questions and there is no time limit. You’ll get 1 point for each correct answer. At
Read moreInteractive Quiz ⋅ 9 QuestionsBy Philipp Acsany Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of Python’s logging module. Logging is a very useful tool in a programmer’s toolbox. It can help you develop a better understanding of the flow of a program and discover scenarios that you might not have thought of while developing. Logs provide developers with an extra set of eyes that are constantly looking
Read moreInteractive Quiz ⋅ 6 QuestionsBy Bartosz Zaczyński Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of Hugging Face Transformers. This library is a popular choice for working with transformer models in natural language processing tasks, computer vision, and other machine learning applications. The quiz contains 6 questions and there is no time limit. You’ll get 1 point for each correct answer. At the
Read more
Transformers is a powerful Python library created by Hugging Face that allows you to download, manipulate, and run thousands of pretrained, open-source AI models. These models cover multiple tasks across modalities like natural language processing, computer vision, audio, and multimodal learning. Using pretrained open-source models can reduce costs, save the time needed to train models from scratch, and give you more control over the models you deploy. Throughout this tutorial, you’ll gain a conceptual understanding of Hugging Face’s AI offerings and learn how to […]
Read more
This post is a hindsight on two studies on multilingual sentence embeddings we published a year ago and comments on what I think people analyzing LLMs today should take away from them. In late 2022, we (which mainly was the work of Kathy Hämmerl from Munich and Björn Diesenroth and Patrick Schramowski from Darmstadt) finished a paper called Speaking Multiple Languages Affects the Moral Bias of Language Models (later published in Findings of ACL 2023) where we tried to compare […]
Read more