GenAI

AI poised to usher in new level of concierge services to the public

AI poised to usher in new level of concierge services to the public

Concierge services built on artificial intelligence have the potential to improve how hotels and other service businesses interact with customers, a new paper suggests. In the first work to introduce the concept, researchers have outlined the role an AI concierge, a technologically advanced assistant, may play in various areas of the service sector as well as the different forms such a helper might embody. Their paper envisions a virtual caretaker that, by combining natural language processing, behavioral data and predictive analytics, would anticipate a customer's needs, suggest certain actions, and automate routine tasks without having to be explicitly commanded to…
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Extending the RoPE

Rotary Position Embedding (RoPE) is an effective position-encoding technique first introduced in Su et al. (2020) [1] and later popularized in open-source models such as GPT-J, GPT-NeoX, PaLM, LLaMA, etc. We covered the mathematics and the implementation details of RoPE in this blog post about 2 years ago. Although the RoPE is limited by its pretrained context size, we will summarize a line of research that manages to extend the context length of the RoPE so that a pretrained language model can be easily adapted to fit the increasingly challenging tasks being given to LLMs. Given a sequence of tokens…
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TMLR Paper “Conformal Prediction under Ambiguous Ground Truth” • David Stutz

Conformal prediction uses a held-out, labeled set of examples to calibrate a classifier to yield confidence sets that include the true label with user-specified probability. But what happens if even experts disagree on the ground truth labels. Commonly, this is resolved by taking the majority voted label from multiple expert. However, in difficult and ambiguous tasks, the majority voted label might be misleading and a bad representation of the underlying true posterior distribution. In this paper, we introduce Monte Carlo conformal prediction which allows to perform conformal calibration directly against expert opinions or aggregate statistics thereof. Abstract Conformal Prediction (CP)…
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Sophisticated data management tools: PwC’s tax and sustainability key – SiliconANGLE

Sophisticated data management tools: PwC’s tax and sustainability key – SiliconANGLE

Integrating tax and sustainability with advanced data management tools is transforming traditional business practices into strategic front-office functions. Leveraging data is critical, especially in the current highly regulated environment. PricewaterhouseCoopers International Ltd. is addressing this need by providing sophisticated data management tools to maximize business ROI, according to Justin Femmer (pictured, left), data automation and governance leader at PwC US. “Most companies’ tax functions and sustainability functions are looking to become more strategic,” Femmer said. “They don’t just want to be a back office. They want to move to the front office, so to speak. They want to be involved…
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How to Prepare Your Business for the EU AI Act With KPMG’s EU AI Hub

How to Prepare Your Business for the EU AI Act With KPMG’s EU AI Hub

The EU AI Hub, launched last week by AI security firm Cranium with KPMG and Microsoft, is a service designed to assist businesses in complying with the newly adopted EU AI Act. With expert advice and bespoke technologies, users will be taken through a series of steps to identify what parts of the AI Act apply to their products and what they need to do to comply. On March 13, 2024, the European Union Parliament voted the AI Act into law. This means businesses that offer AI products in the region will soon need to abide by its strict rules…
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AI headphones let wearer listen to a single person in a crowd, by looking at them just once

AI headphones let wearer listen to a single person in a crowd, by looking at them just once

Noise-canceling headphones have gotten very good at creating an auditory blank slate. But allowing certain sounds from a wearer's environment through the erasure still challenges researchers. The latest edition of Apple's AirPods Pro, for instance, automatically adjusts sound levels for wearers -- sensing when they're in conversation, for instance -- but the user has little control over whom to listen to or when this happens. A University of Washington team has developed an artificial intelligence system that lets a user wearing headphones look at a person speaking for three to five seconds to "enroll" them. The system, called "Target Speech…
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The third New England RLHF Hackers Hackathon

The third New England RLHF Hackers Hackathon

At the third New England RLHF Hackathon, several interesting projects were showcased, each focusing on different aspects of machine learning and reinforcement learning. Participants and those interested in future events are encouraged to join the Discord community for more information and updates. Join the discord community The highlighted projects include: Pink Elephants Pt 3 (Authors: Sid Verma, Louis Castricato): This project aimed to train a pink elephant model via ILQL (Inverse Learning from Q-learning), using the standard trlX implementation. The team faced challenges in finding optimal hyperparameters and proposed future research that includes more nuanced reward shaping and combining different…
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PRECISE Seminar Talk “Evaluating and Calibrating AI Models with Uncertain Ground Truth” • David Stutz

PRECISE Seminar Talk “Evaluating and Calibrating AI Models with Uncertain Ground Truth” I had the pleasure to present our work on evaluating and calibrating with uncertain ground truth at the seminar series of the PRECISE center at the University of Pennsylvania. Besides talking about our recent papers on evaluating AI models in health with uncertain ground truth and conformal prediction with uncertain ground truth, I also got to learn more about the research at PRECISE through post-doc and student presentations. In this article, I want to share the corresponding slides. Abstract For safety, AI systems in health undergo thorough evaluations…
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Fullstory’s new platform enables harnessing customer behavioral data as a standalone source – SiliconANGLE

Fullstory’s new platform enables harnessing customer behavioral data as a standalone source – SiliconANGLE

Data analytics startup Fullstory Inc. says it wants to enhance the capabilities of artificial intelligence applications by providing them with the behavioral data they need to understand customer’s sentiments properly. To do this, it has announced a new platform called Data Direct, which automates the collection, synchronization and cleaning of structured, AI-ready behavioral data that can be fed into any application. By doing this, it says it can provide companies with more insightful web and mobile sentiment signals, allowing them to adapt the way they engage with customers and, hopefully, enable more positive interactions. Data Direct is said to transform…
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Anthropic’s Generative AI Research Reveals More About How LLMs Affect Security and Bias

Anthropic’s Generative AI Research Reveals More About How LLMs Affect Security and Bias

Because large language models operate using neuron-like structures that may link many different concepts and modalities together, it can be difficult for AI developers to adjust their models to change the models’ behavior. If you don’t know what neurons connect what concepts, you won’t know which neurons to change. On May 21, Anthropic created a remarkably detailed map of the inner workings of the fine-tuned version of its Claude 3 Sonnet 3.0 model. With this map, the researchers can explore how neuron-like data points, called features, affect a generative AI’s output. Otherwise, people are only able to see the output…
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