Last year, Facebook AI introducedDynabench, a platform for dynamic data collection and benchmarking that uses humans and NLP models to create challenging test datasets. The humans are tasked with finding adversarial examples that fool current state-of-the-art models. Facebook has recently updated Dynabench with Dynaboard, an evaluation-as-a-service framework for hosting benchmarks and conducting holistic NLP model…
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Last year, Facebook AI introducedDynabench, a platform for dynamic data collection and benchmarking that uses humans and NLP models to create challenging test datasets. The humans are tasked with finding adversarial examples that fool current state-of-the-art models. Facebook has recently updated Dynabench with Dynaboard, an evaluation-as-a-service framework for hosting benchmarks and conducting holistic NLP model…
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A deep neural network or DNN progressively gains the ability to learn complex representations as it goes deeper, enabling it to perform image classification and speech recognition tasks. On the flip side, making DNNs deeper comes with increased inference-time computational demands. To remediate this, researchers have devised multi-exit architectures where deeper networks fix mistakes of…
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Natural Language Generation (NLG), a subset of Natural Language Processing (NLP), outputs natural human language from data. The software system generates narratives and reports based on input data. It can also translate this text into audible speech. Here is a list of the top companies providing natural language generation services. (The list is in alphabetical…
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Natural Language Generation (NLG), a subset of Natural Language Processing (NLP), outputs natural human language from data. The software system generates narratives and reports based on input data. It can also translate this text into audible speech. Here is a list of the top companies providing natural language generation services. (The list is in alphabetical…
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The scale and complexity of machine learning make it hard to provide and manage data and resources efficiently. This hinders and decreases productivity. The easiest way to approach the problem is serverless machine learning. It is an excellent solution to the problem of data center resource management. Machine learning users face several daunting challenges that…
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Python is an interpreted, interactive, portable and object-oriented programming language. This open-sourced general-purpose language runs on many Unix variants, including Linux and macOS, and Windows. Python has applications in hacking, computer vision, data visualisation, 3D Machine Learning, robotics, and is a favourite of developers worldwide. Below, we list the ten most popularly used Python libraries…
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Did you know India had an exclusive centre for robotics since 1986? Yes, it’s true. The Centre for Artificial Intelligence and Robotics (CAIR) lab started with just three staff in a tiny office in Bengaluru. Today, the centre has more than 300 employees. CAIR is involved in research and development in AI, robotics, command and…
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Did you know India had an exclusive centre for robotics since 1986? Yes, it’s true. The Centre for Artificial Intelligence and Robotics (CAIR) lab started with just three staff in a tiny office in Bengaluru. Today, the centre has more than 300 employees. CAIR is involved in research and development in AI, robotics, command and…
The post Everything You Need To Know About India’s Centre for Artificial Intelligence and Robotics appeared first on Analytics India Magazine.
Text Generation is a task in Natural Language Processing in which text is generated with some constraints such as initial characters words
The post Beginners Guide To Text Generation With RNNs appeared first on Analytics India Magazine.