Deep Learning, NLP, NMT, AI, ML
This research paper was presented at the 23rd annual ACM Interaction Design and Children Conference (opens in new tab) (IDC 2024) the premier forum for inclusive child-centered design and learning. Between 2016 and 2018, Microsoft Research and the Developer Division developed Microsoft MakeCode, a versatile, free web-based platform aimed at teaching coding. While MakeCode
Read moreInteractive Quiz ⋅ 6 QuestionsBy Geir Arne Hjelle Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of Ruff, a modern linter for Python. By working through this quiz, you’ll revisit why you’d want to use Ruff to check your Python code and how it automatically fixes errors, formats your code, and provides optional configurations to enhance your linting. The quiz contains 6 questions
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Linting is essential to writing clean and readable code that you can share with others. A linter, like Ruff, is a tool that analyzes your code and looks for errors, stylistic issues, and suspicious constructs. Linting allows you to address issues and improve your code quality before you commit your code and share it with others. Ruff is a modern linter that’s extremely fast and has a simple interface, making it straightforward to use. It also aims to be a […]
Read moreMicrosoft is proud to sponsor the 41st annual Conference on Computer Vision and Pattern Recognition (CVPR 2024), held from June 17 to June 21. This premier conference covers a broad spectrum of topics in the field, including 3D reconstruction and modeling, action and motion analysis, video and image processing, synthetic data generation, neural networks, and many more. This year, 63 papers from Microsoft have been accepted, with six selected for oral presentations. This post highlights
Read moreMulti-agent approaches to AI applications, where multiple foundation model-based agents collaborate to solve problems, are emerging as a powerful paradigm for accomplishing increasingly complex tasks. In September 2023, we released AutoGen – a flexible and open-source Python-based framework for defining, configuring, and composing AI agents to drive multi-agent applications. Today, we are introducing AutoGen Studio (version 0.1.0) – a low-code interface for rapidly building, testing, and sharing multi-agent solutions.
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Image by Author Deep learning models achieve state-of-the-art performance in several computer vision and natural language processing tasks. If you want to become proficient in deep learning, you should first understand how neural networks work and then proceed to explore the different types and neural network architectures for specific tasks. To help you get started, we’ve compiled a list of free resources—a mix of books, interactive tutorials, and video lectures—that’ll help you learn all about neural networks. The resources are […]
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Introduction Recurrent Neural Networks (RNN) and Transformers have emerged as two popular deep learning models, especially in the field of Natural Language Processing (NLP). Although research on RNNs goes back to the 1980s the Transformer research paper first came out in 2017 only and its models have become highly successful in recent times. In this post, we will compare Transformers vs RNN and understand their similarities and differences point-wise. Recurrent Neural Networks (RNN) Recurrent Neural Networks (RNN) are a type […]
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Stable Diffusion is a deep learning model that can generate pictures. In essence, it is a program in which you can provide input (such as a text prompt) and get back a tensor that represents an array of pixels, which, in turn, you can save as an image file. There’s no requirement that you must use a particular user interface. Before any user interface is available, you are supposed to run Stable Diffusion in code. In this tutorial, we will […]
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There are many ways you can access Stable Diffusion models and generate high-quality images. One popular method is using the Diffusers Python library. It provides a simple interface to Stable Diffusion, making it easy to leverage these powerful AI image generation models. The diffusers lowers the barrier to using cutting-edge generative AI, enabling rapid experimentation and development. This library is very powerful. Not only you can use it to generate pictures from text prompts, but also to leverage LoRA and […]
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Image by Author Collaborating on a machine learning project is a bit different from collaborating on a traditional software project. In a machine learning project, engineers are working with data, models, and source code. Additionally, they are also sharing features, model experiment results, and pipelines. You can’t just use any code-sharing platform for a machine learning project; you need to select a platform that lets you share code, resolve issues seamlessly, maintain lineage, handle data and models, provide experiment tracking […]
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