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This AI Research from Google Reveals How Encoding Graph Data Elevates Language Model Performance on Complex Tasks
Large language models (LLMs) have gained popularity in the AI community as they are seen as a step towards artificial general intelligence (AGI). However, LLMs have limitations, such as dependence on unstructured text and difficulty integrating new knowledge. Researchers are exploring the use of graph-structured data to address these issues. Google Research has conducted investigations…
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Deciphering the Math in Images: How the New MathVista Benchmark is Pushing AI Boundaries in Visual and Mathematical Reasoning
MATHVISTA is a benchmark to assess the mathematical reasoning abilities of Large Language Models and Large Multimodal Models within visual contexts. It combines various mathematical and graphical tasks and includes existing and new datasets. The benchmark reveals a performance gap compared to humans and emphasizes the need for further advancement in AI agents with mathematical…
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Top 10 Open Source Large Language Models in 2023
This text reviews the current top open-source language models available.
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YouTube Music Introduces AI-Powered Playlist Customization Feature
YouTube Music has launched a new feature that allows users to create personalized playlist cover art using generative AI technology. Users can select a theme and specific request, and YouTube’s AI system generates a selection of images to choose from. This feature is currently available to English-language users in the United States but will expand…
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Tencent AI Lab Introduces Progressive Conditional Diffusion Models (PCDMs) that Incrementally Bridge the Gap Between Person Images Under the Target and Source Poses Through Three Stages
Progressive Conditional Diffusion Models (PCDMs) have been introduced by Tencent AI Lab to address the challenges in pose-guided person image synthesis. PCDMs consist of three stages: predicting global features, establishing dense correspondences, and refining images. The method effectively aligns source and target images at multiple levels, producing high-quality and realistic results. It also demonstrates improved…
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3 Key Career Decisions for Junior Data Scientists
This article discusses three key questions for junior data scientists to consider when thinking about their future careers. The first question is whether they want to be an individual contributor, a manager, or a combination of both. The second question is whether they want to specialize in areas like machine learning, decision science, or analytics…
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Research pitches GPT-4 against the chartered financial analyst (CFA) exam
Researchers from JPMorgan Chase & Co. conducted an experiment using OpenAI’s GPT-4 model to determine if it could pass the CFA exam. They found that ChatGPT would likely not be able to pass the CFA Levels I and II, while GPT-4 had a decent chance with appropriate prompting. Both models faced challenges with Level II.…
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Round up of day two of the UK’s AI Safety Summit
On day two of the AI Safety Summit, UK Prime Minister Rishi Sunak announced that industry leaders such as Meta, Google Deep Mind, and OpenAI have agreed to allow government evaluation of their AI tools before market launch. The summit also established the AI Safety Institute and unveiled a forthcoming “state of AI science” report…
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Live chat and HIPAA compliance: Challenges and Solutions.
This article discusses the challenges healthcare organizations face in maintaining HIPAA compliance when using live chat as a communication channel. It emphasizes the need for secure platforms, staff training on HIPAA regulations, and the implementation of policies and procedures. The article also provides best practices for securing PHI in live chat sessions and addresses the…
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DELPHI: Data for Evaluating LLMs’ Performance in Handling Controversial Issues
Large language models (LLMs) are being used more frequently as conversational systems, leading to increased reliance on them for answers. To understand how these models respond to questions about ongoing debates, we need datasets with human-annotated labels reflecting contemporary discussions. To address this, we propose a new way of creating a dataset for controversial questions.