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Sixty seconds to fun and learning!
October’s Game On! featured Minute-to-Win-It Games with an Agile twist, offering a rapid and engaging way to energize meetings and workshops. The post “Sixty seconds to fun and learning!” is available on Agile Alliance.
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Meet Llemma: The Next-Gen Mathematical Open-Language Model Surpassing Current Benchmarks
A team of researchers from various institutions has developed LLEMMA, a language model tailored for mathematics. LLEMMA models are specifically designed for mathematical tasks and represent a new state-of-the-art in publicly released base models for mathematics. The researchers have made their models openly accessible and have also introduced the AlgebraicStack dataset. Their work extends previous…
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Identifying Controversial Pairs in Item-to-Item Recommendations
State-of-the-art recommendation systems in online marketplaces struggle with providing nuanced item relationships. Contextually relevant item pairs can have confusing or controversial relationships that may negatively impact user experiences and brand perception. For instance, *
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AI Intranet Features: Current and Future
AI on an intranet can boost productivity, support career growth, and create a more tailored employee experience. Winners of the 2023 Intranet Design Annual used AI-powered features to provide quick access to information, tools, and services. AI can improve findability and navigation, personalize content, automate content management, and improve search results. OCBC Bank’s AI chatbot,…
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AI as a UX Assistant
Generative-AI bots are widely used by UX professionals for various tasks such as content editing, research assistance, ideation support, and design assistance. In a survey with over 800 respondents, 92% reported using generative AI tools, with 63% using them frequently, if not daily. The most common use is for generating and editing text content. The…
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The US prepares to release its executive order on AI
The Biden administration is set to release a comprehensive AI executive order on October 30th. The order will focus on areas such as immigration, safety, and the consolidation of the tech industry. It aims to ensure thorough assessments of advanced AI models before deployment, lower barriers to entry for skilled workers, and enhance national cyber…
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Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features
In this paper, the researchers study how to improve the accuracy of device-directed speech detection (DDSD) systems, which distinguish between voice assistant queries and side conversations or background speech. They explore fusion schemes to make the systems more robust when some of the verbal cues are unavailable in real-world settings.
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AI subjected to tests on Theory of Mind and systematic generalization
Researchers have developed FANToM, a benchmark to evaluate large language models’ (LLMs) understanding of Theory of Mind (ToM). ToM is the ability to attribute beliefs and perspectives to oneself and others. FANToM tests LLMs’ knowledge of others’ beliefs in dynamic scenarios. Results show that current LLMs struggle with maintaining a consistent ToM, highlighting the limitations…
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5 Steps to Beautiful Line Charts in Python
This article provides a step-by-step guide on how to create compelling line charts using Matplotlib. The author explores various techniques to enhance the visual appeal and readability of the charts. The article includes code snippets and examples to illustrate the concepts. The final result is a professional-looking line chart that effectively tells a story. The…
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Meet FourCastNet: A Global Data-Driven Weather Forecasting Model Revolutionizing Weather Predictions with Fast and Accurate Deep Learning Approach
Numerical weather prediction (NWP) has played a crucial role in economic planning and saving lives through accurate weather forecasts. Improvements in computational power, parameterization, and data assimilation have enhanced weather forecasting. Data-driven deep learning models have gained popularity due to their low processing costs and ability to generate large ensembles. However, these models must improve…