Deep Learning, NLP, NMT, AI, ML
Introduction Google Bard is a large language model from Google AI, trained on a massive dataset of text and code. It can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. In this article, we will explore some of the cool Google
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Staying up to date with the newest NLP work is a tough job, and reading about new research takes a significant amount of my time. For several years, one of my work routines has been skimming over the arXiv digest. I open a few preprints, glance over them, and write some notes into Zotero. Once a month, I write a blog post about what I think was the most interesting, which should force me to understand the papers, at least […]
Read moreImagine an AI model that can seamlessly generate high-quality content across text, images, video, and audio, all at once. Such a model would more accurately capture the multimodal nature of the world and human comprehension, seamlessly consolidate information from a wide range of sources, and enable strong immersion in human-AI interactions. This could transform the way humans interact with computers on various tasks, including assistive technology, custom learning tools, ambient computing, and content generation. In a recent paper: Any-to-Any Generation […]
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If you’re doing numeric calculations, NumPy is a lot faster than than plain Python—but sometimes that’s not enough. What should you do when your NumPy-based code is too slow? Your first thought might be parallelism, but that should probably be the last thing you consider. There are many speedups you can do before parallelism becomes helpful, from algorithmic improvements to working around NumPy’s architectural limitations. Let’s see why NumPy can be slow, and then some solutions to help speed up […]
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In Python, range() is most commonly used in for loops to iterate over a known range of numbers. But that’s not all it can do! There are other interesting uses of range(). For example, you can pick out elements of a range or check whether a given number belongs to a range of numbers. The latter operation is known as a membership test. Python’s range() objects support most of the operations that you’ve come to expect from lists. For example, […]
Read moreTemplates are an essential ingredient in full-stack web development. With Jinja, you can build rich templates that power the front end of your Python web applications. Jinja is a text templating language. It allows you to process a block of text, insert values from a context dictionary, control how the text flows using conditionals and loops, modify inserted data with filters, and compose different templates together using inheritance and inclusion. In this video course, you’ll learn how to: Install the […]
Read morePicture a world where computing is not limited by the binary confines of zeros and ones, but instead, is free to explore the vast possibilities of continuous value data. Over the past three years a team of Microsoft researchers has been developing a new kind of analog optical computer that uses photons and electrons to process continuous value data, unlike today’s digital computers that use transistors to crunch through binary data. This innovative new machine has the potential to surpass […]
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