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Accenture creates a Knowledge Assist solution using generative AI services on AWS
Accenture has collaborated with AWS to create Knowledge Assist, a generative AI solution that helps enterprises connect people to information efficiently. Using AWS generative AI services, Knowledge Assist can comprehend vast amounts of unstructured content and provide precise answers to user questions. By improving knowledge retention and reducing training time, this solution has proven to…
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CMU Researchers Introduce AdaTest++: Enhancing the Auditing of Large Language Models through Advanced Human-AI Collaboration Techniques
CMU researchers have introduced AdaTest++, an advanced auditing tool for Large Language Models (LLMs). The tool streamlines the auditing process, enhances sensemaking, and facilitates communication between auditors and LLMs. AdaTest++ includes features such as prompt templates, organizing tests into schemas, top-down and bottom-up exploration, and validation and refinement. It has demonstrated remarkable effectiveness in uncovering…
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Robust time series forecasting with MLOps on Amazon SageMaker
This blog post discusses the importance of time series forecasting in data-driven decision-making and explores a robust time series forecasting model using Amazon SageMaker. It highlights the use of MLOps infrastructure for automating the model development process and explains the steps involved in training and deploying the model. The post also provides an overview of…
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This AI Paper Introduces Quilt-1M: Harnessing YouTube to Create the Largest Vision-Language Histopathology Dataset
The research team behind QUILT-1M has introduced a groundbreaking solution to the scarcity of comprehensive datasets in histopathology. By leveraging educational histopathology videos on YouTube, they have curated a dataset of 1 million paired image-text samples. The dataset outperforms existing models and has the potential to benefit computer scientists and histopathologists in their research and…
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Meta Teams Up with Microsoft Bing to Introduce AI Chatbot Across Its Platforms
Meta has partnered with Microsoft Bing to launch an AI chatbot across its platforms, including WhatsApp, Messenger, and Instagram. The chatbot, powered by Meta AI, offers features such as answering queries, text generation, and language translation. Additionally, Meta is introducing 28 AI characters for messaging and personalized AI stickers. The company also plans to enhance…
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Top 5 AI Tools Every Scrum Master and Team Should Consider
In today’s tech-savvy environment, AI tools are revolutionizing how we approach work, and Scrum is no exception. Integrating AI can streamline tasks, optimize processes, and offer valuable insights. Here are the top five AI tools that every Scrum Master and Agile team should have on their radar: Incorporating these AI tools into your Scrum and…
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Can Scrum Masters Use Provocative Tones to Manage Team Conflicts?
In the dynamic world of Agile and Scrum, communication is key. But what happens when that communication takes on a provocative tone? The question arises: Can Scrum Masters effectively use what’s often termed “ragebait” or “clickbait” techniques within their teams? “Ragebait” or “clickbait” is a strategy primarily seen in digital media, designed to elicit strong…
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Prompt Engineering Tips, a Neural Network How-To, and Other Recent Must-Reads
Here are ten recent standout articles from Towards Data Science – Medium: 1. “New ChatGPT Prompt Engineering Technique: Program Simulation” by Giuseppe Scalamogna explains a prompt-engineering technique that simulates a program to improve the performance of ChatGPT. 2. “How to Program a Neural Network” by Callum Bruce provides a step-by-step guide for coding neural networks…
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An Introduction to Sprint Goals
This blog post from LeadingAgile discusses the importance of sprint goals in agile transformation. The post explores what sprint goals are, why they are important, and how to create them. The post also provides contact information for Vic Bonacci and Dave Prior, and offers information on CSM and CSPO training.
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Meet ReVersion: A Novel AI Diffusion-Based Framework to Address the Relation Inversion Task from Images
ReVersion is an AI diffusion-based framework that aims to address the Relation Inversion task from images. It focuses on capturing object relations and allows users to generate images that correspond to specific relationships. The framework incorporates a preposition prior and a relation-steering contrastive learning scheme to improve relation inversion results. The ReVersion Benchmark is also…