Thu.May 30, 2024

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10 Innovative Uses of Meta AI for Everyday Tasks

Analytics Vidhya

Introduction Meta AI provides a wide array of functions designed to enhance communication, efficiency, and creativity across various fields. These functions range from answering queries and generating text to translating languages and creating images. This article highlights 10 uses of Meta AI, showcasing its potential to transform the way we use AI chatbots for everyday […] The post 10 Innovative Uses of Meta AI for Everyday Tasks appeared first on Analytics Vidhya.

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EU launches office to implement AI Act and foster innovation

AI News

The European Union has launched a new office dedicated to overseeing the implementation of its landmark AI Act , which is regarded as one of the most comprehensive AI regulations in the world. This new initiative adopts a risk-based approach, imposing stringent regulations on higher-risk AI applications to ensure their safe and ethical deployment. The primary goal of this office is to promote the “future development, deployment and use” of AI technologies, aiming to harness their soc

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Top 9 Python Libraries for Data Engineers

Analytics Vidhya

Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers. We will look at each library’s unique features and […] The post Top 9 Python Libraries for Data Engineers appeared first on Analytics Vidhya.

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Nicholas Brackney, Dell: How we leverage a four-pillar AI strategy

AI News

Dell is deeply embedded in the AI landscape, leveraging a comprehensive four-pillar strategy to integrate the technology across its products and services. Nicholas Brackney, Senior Consultant in Product Marketing at Dell, discussed the company’s AI initiatives ahead of AI & Big Data Expo North America. Dell’s AI strategy is structured around four core principles: AI-In, AI-On, AI-For, and AI-With: “Embedding AI capabilities in our offerings and services drives speed, intelligence

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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How to use sum() Function in Python?

Analytics Vidhya

Introduction In this article, you’ll discover an in-depth exploration of the sum() function in Python, a crucial built-in utility for aggregating numbers across various iterable types. We begin by explaining the fundamental syntax and parameters of the sum() function, followed by detailed examples showcasing its application to lists, dictionaries, sets, and tuples.

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Don’t Miss these Must Attend Workshops at DataHack Summit 2024

Analytics Vidhya

Introduction Imagine a day full of energy and possibilities! Attendees eagerly await the start of an immersive, hands-on workshop at the DataHack Summit 2024, India’s largest GenAI Conference. On the 4th day, dedicated entirely to workshops, you’ll take your knowledge of Generative AI to the next level with cutting-edge technology and practical applications.

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Benjamin Ogden, Founder & CEO of DataGenn AI – Interview Series

Unite.AI

Benjamin Ogden is the founder and CEO of DataGenn AI , building autonomous investor and trader agents that have been finely tuned to generate profitable trading predictions and execute market trades. Utilizing Reinforcement Learning from Human Feedback (RLHF), the agents' trade prediction accuracy continually improves. Currently, DataGenn AI is in the process of raising funds to support its continued growth and innovation in the financial services industry.

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Blood Cell Segmentation with Mask R-CNN

Analytics Vidhya

Introduction Analysis of blood cells is a important step in the diagnosis of a wide range of medical disorders like infections and anaemia to more serious diseases like leukaemia. Conventionally, this was done the old way – where a lab technician would go through microscope blood smear slides, spending a couple of hours. This process […] The post Blood Cell Segmentation with Mask R-CNN appeared first on Analytics Vidhya.

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Why CPG Leaders Must Separate the Wheat from Chaff for True AI-Powered Revenue Growth Optimization

Unite.AI

Optimization isn’t just a vendor buzzword anymore. It’s a fully definable and measurable outcome that cannot be achieved with antiquated techniques leveraged by one-size-fits-all AI systems. Optimizing revenue growth is a top priority across the CPG sector today. Uncertainty driven by global economic headwinds, persistent inflation, supply chain challenges, and shifting buyer behaviors has intensified the importance of understanding how to systematically decode and navigate evolving conditions t

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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How to Build Reliable LLM Applications with Phidata?

Analytics Vidhya

Introduction With the intro of Large Language Models, the usage of these LLMs in different applications has greatly increased. In most of the recent applications developed across many problem statements, LLMs are part of it. Most of the NLP space, including Chatbots, Sentiment Analysis, Topic Modelling, and many more, is being handled by Large Language […] The post How to Build Reliable LLM Applications with Phidata?

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Top Artificial Intelligence AI Courses from Google

Marktechpost

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems. This article lists the top AI courses by Google that provide comprehensive training on various AI and machine learning technologies, equipping learners with the skills needed

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Introducing Salesforce BYOM for Databricks

databricks

Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.

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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning Blog

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and eval

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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The Emergence of Super Tiny Language Models (STLMs) for Sustainable AI Transforms the Realm of NLP

Marktechpost

Natural language processing (NLP) has many applications, including machine translation, sentiment analysis, and conversational agents. The advent of LLMs has significantly advanced NLP capabilities, making these applications more accurate and efficient. However, these large models’ computational and energy demands have raised concerns about sustainability and accessibility.

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Netflix PRS 2024 - Applying LLMs to Recommendation Experiences

Eugene Yan

Challenges and lessons from deploying LLM experiences: evals, scalability, guardrails.

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Advancing Ethical AI: Preference Matching Reinforcement Learning from Human Feedback RLHF for Aligning LLMs with Human Preferences

Marktechpost

Large language models (LLMs) like ChatGPT-4 and Claude-3 Opus excel in tasks such as code generation, data analysis, and reasoning. Their growing influence in decision-making across various domains makes it crucial to align them with human preferences to ensure fairness and sound economic decisions. Human preferences vary widely due to cultural backgrounds and personal experiences, and LLMs often exhibit biases, favoring dominant viewpoints and frequent items.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning Blog

This is a guest post co-written with CBRE. CBRE is the world’s largest commercial real estate services and investment firm, with 130,000 professionals serving clients in more than 100 countries. Services range from financing and investment to property management. CBRE is unlocking the potential of artificial intelligence (AI) to realize value across the entire commercial real estate lifecycle—from guiding investment decisions to managing buildings.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Top Artificial Intelligence AI Tools for Video Editing

Marktechpost

In today’s digital world, video content is crucial for marketing, entertainment, and communication campaigns. When creating videos for online platforms like YouTube, social media, or professional presentations, it is essential to have high-quality editing tools. With the use of artificial intelligence, video editors can improve their work by adding effects, enhancing the audio, and creating compelling stories.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning Blog

This post is co-written with Murthy Palla and Madesh Subbanna from Vitech. Vitech is a global provider of cloud-centered benefit and investment administration software. Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedure

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Harnessing Artificial Intelligence for the Next Era of Space Discovery

Marktechpost

Artificial Intelligence (AI) has significantly impacted the space technology sector, transforming the way we explore and understand the universe. From autonomous rovers navigating distant planets to optimizing satellite operations in Earth’s orbit, AI is revolutionizing various aspects of space exploration. By leveraging AI algorithms, space agencies, and private companies are unlocking new frontiers in autonomous decision-making, data analysis, and resource exploration beyond our planet&#

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Boeing Will Launch Starliner With Helium Leak

Extreme Tech

NASA and Boeing have judged the leak to be within safety tolerances and will proceed with the June 1 launch.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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[The AI Show Episode 100]: Your Top AI Questions Answered: AI’s Impact on Business, Marketing, Jobs, Careers, Education and More

Marketing AI Institute

We have a special bonus episode today, and it's all about celebrating our 100th episode! To mark this milestone, we have dedicated this episode to answering your questions. The Artificial Intelligence Show is much more than just a place for us to share content. It's our way of making sense of the AI world and putting it all into perspective. We are lucky to be on this journey with all of you, learning and growing together every step of the way.

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Investment Fund KKR Buys CLM Agiloft In Surprise Move

Artificial Lawyer

BREAKING NEWS KKR, a leading global investment firm, has today announced that a fund managed by KKR has entered into an agreement to acquire a majority stake in CLM company Agiloft.

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Data Science Interview Question: Creating ROC & Precision-Recall Curves From Scratch

Towards AI

Last Updated on June 3, 2024 by Editorial Team Author(s): Varun Nakra Originally published on Towards AI. This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch, i.e., no data on hand. For the purposes of this story, I will assume that readers are aware of the meaning and the calculations behind these metrics and what they represent and how are they interpreted.

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Stanford HAI Tests Westlaw, But The GenAI Results Look Worse!

Artificial Lawyer

OK, this story is getting into unusual territory now. Artificial Lawyer just got an email from the spokespeople for the Stanford University HAI team who.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Large Language Models-Guided Dynamic Adaptation (LLM-DA): A Machine Learning Method for Reasoning on Temporal Knowledge Graphs TKGs

Marktechpost

Researchers from Beijing University of Technology, China, Monash University, Australia, the University of Hong Kong, China, and Griffith University, Australia, introduced LLM-DA to interpret Temporal Knowledge Graphs (TKGs). Temporal Knowledge Graphs (TKGs) are structured representations of real-world data incorporating temporal dimensions. Traditional methods for Temporal Knowledge Graph Reasoning (TKGR) rely on deep learning algorithms, which are interpretability or temporal logical rules, and

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GenAI + Legal Training – With Dr. Megan Ma, CodeX

Artificial Lawyer

Ahead of the Legal Innovators California conference on June 4 and 5, Artificial Lawyer spoke to Dr. Megan Ma, Associate Director at CodeX within Stanford Law.

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Edge 400: Inside AlphaFold 3: Google DeepMind's Amazing BioScience Model

TheSequence

Created Using Ideogram Today is the 400th edition of The Sequence Edge! 170,000 subscribers later, TheSequence is widely recognized as one of the largest, most technical AI newsletters in the world. What a journey. It’s a provilege to write this newsletter almost every day and I really would like to thank you for your continued support. AI for science is one of my favorite forms of AI 😊 You can argue that the real test for AGI is when it’s able to create new science.

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