​Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates. Multicalibration is a related notion — originating in algorithmic fairness — which requires predictors to be simultaneously calibrated over a potentially complex and overlapping collection of protected subpopulations (such as groups defined by… Read More »When is Multicalibration Post-Processing Necessary? Apple Machine Learning Research

​Reinforcement Learning from Human Feedback (RLHF) is an effective approach for aligning language models to human preferences. Central to RLHF is learning a reward function for scoring human preferences. Two main approaches for learning a reward model are 1) training an explicit reward model as… Read More »On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization Apple Machine Learning Research

​[[{“value”:” This post is co-written with Less Wright and Wei Feng from Meta Pre-training large language models (LLMs) is the first step in developing powerful AI systems that can understand and generate human-like text. By exposing models to vast amounts of diverse data, pre-training lays the… Read More »Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker Roy Allela AWS Machine Learning Blog

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​[[{“value”:” Integrating Artificial Intelligence (AI) tools in education has shown great potential to enhance teaching methods and learning experiences, especially where access to experienced educators is limited. One prominent AI-based approach is using Language Models (LMs) to support tutors in real time. Such systems can… Read More »Researchers at Stanford University Introduce Tutor CoPilot: A Human-AI Collaborative System that Significantly Improves Real-Time Tutoring Quality for Students Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accelerated computing is sustainable computing, Bob Pette, NVIDIA’s vice president and general manager of enterprise platforms, explained in a keynote at the NVIDIA AI Summit on Tuesday in Washington, D.C. NVIDIA’s accelerated computing isn’t just efficient. It’s critical to the next wave of industrial,… Read More »NVIDIA AI Summit Highlights Game-Changing Energy Efficiency and AI-Driven Innovation Brian Caulfield – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Time series forecasting is a critical component in various industries for making informed decisions by predicting future values of time-dependent data. A time series is a sequence of data points recorded at regular time intervals, such as daily sales revenue, hourly temperature readings, or… Read More »Time series forecasting with Amazon SageMaker AutoML Davide Gallitelli AWS Machine Learning Blog

​[[{“value”:” In this post, we present a solution that harnesses the power of generative AI to streamline the user onboarding process for financial services through a digital assistant. Onboarding new customers in the banking industry is a crucial step in the customer journey, involving a… Read More »Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock Anup Ravindranath AWS Machine Learning Blog

​ This Week in AI: Meetups, Courses, and Community News Welcome to this week’s edition of ChatBots Life Update, where we aim to provide you with the most crucial AI information in just 5 minutes. Here is what’s in store: 💪 Upcoming Online Meetup: Join us and… Read More »Here is What is Coming this Month Stefan Kojouharov Chatbots Life – Medium

​[[{“value”:” This summer, scientists supercharged their tools in the hunt for signs of life beyond Earth. Researchers at the SETI Institute became the first to apply AI to the real-time direct detection of faint radio signals from space. Their advances in radio astronomy are available… Read More »SETI Institute Researchers Engage in World’s First Real-Time AI Search for Fast Radio Bursts Harry Petty – Archives Page 1 | NVIDIA Blog