Tue.Dec 05, 2023

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AI and the Future of Work: Reskilling the Workforce in an Age of AI

Unite.AI

AI is transforming the way we work, and it's happening faster than you think. Over 100M people already use ChatGPT every week , and more than half of employees say they use AI tools at work. While there's no question that AI will help certain types of people to do their jobs better, many people are worried that it will actually replace the need for people to do certain jobs at all.

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How to Get Job Ready in the World of Large Language Models?

Analytics Vidhya

Introduction Has contributing to the realm of artificial intelligence been your passion? Your dream entry into this field requires expertise and hands-on experience in natural language processing. Get job-ready with in-depth knowledge and application skills of different Large Language Models (LLMs). Mimicking human intelligence, GPT-4, Llama, Falcon, and many more LLMs are not just the […] The post How to Get Job Ready in the World of Large Language Models?

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Elon Musk’s xAI Seeks Billion-Dollar Funding Boost

Unite.AI

In a bold move that signals a significant shakeup in the artificial intelligence landscape, Elon Musk's xAI, is on a mission to secure a substantial $1 billion in funding. Already on a promising trajectory, xAI has amassed nearly $135 million, as per a recent filing with the Securities and Exchange Commission. xAI was unveiled earlier this year with a clear vision: to redefine the boundaries of generative AI.

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Singapore to Triple its AI Workforce

Analytics Vidhya

Singapore has set its sights on the field of Artificial Intelligence. With the launch of National AI Strategy (NAIS) 2.0, the city-state plans to triple its AI workforce to 15,000 within the next 3-5 years. This ambitious initiative is poised to reshape not only Singapore’s technological landscape but also its societal fabric. Talent Through Apprenticeship […] The post Singapore to Triple its AI Workforce appeared first on Analytics Vidhya.

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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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Overcoming the ‘last mile problem’ in knowledge management

AI News

The concept of the “last mile problem” is widely recognised across various industries as the challenges faced in the final stage of delivering services or products from a central system to the end user’s location. Although typically associated with telecommunications and transportation, its application extends far beyond these domains.

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Retailers can tap into generative AI to enhance support for customers and employees

IBM Journey to AI blog

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

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Autonomous AI Agents: Pioneering the Future of Data Science and Technology

Analytics Vidhya

Introduction In the dynamic landscape of technology, Autonomous AI Agents have emerged as transformative entities, reshaping how we interact with data and artificial intelligence. As we delve into this fascinating realm, it becomes evident that these agents are more than mere programs—they represent a paradigm shift in integrating AI into our daily lives.

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Overcoming the ‘last mile problem’ in knowledge management from AI vendors

AI News

The concept of the “last mile problem” is widely recognised across various industries as the challenges faced in the final stage of delivering services or products from a central system to the end user’s location. Although typically associated with telecommunications and transportation, its application extends far beyond these domains.

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Starling-7B: LLM with Reinforcement Learning from AI Feedback

Analytics Vidhya

The research team at UC Berkeley introduces Starling-7B, an open-source large language model (LLM) that employs Reinforcement Learning from AI Feedback (RLAIF). Leveraging the power of the cutting-edge GPT-4 labeled ranking dataset, Nectar, and a sophisticated reward training and policy tuning pipeline, Starling-7B-alpha has set a new standard in language model performance, outshining all models […] The post Starling-7B: LLM with Reinforcement Learning from AI Feedback appeared first on An

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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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Beyond basics: Six tips for an exceptional customer service strategy

IBM Journey to AI blog

Enhancing the customer experience through customer service is among the most important disciplines for any organization for one simple reason: without customers, organizations would fail overnight. Customer service, sometimes called customer care or customer support, relates to the activities organizations take to ensure their customers’ needs are being met.

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IBM and META Forms AI Alliance for Responsible Innovation

Analytics Vidhya

In a significant stride towards responsible AI innovation, IBM and Meta have jointly launched the AI Alliance. It unites over 50 prominent organizations globally. This collaborative effort aims to foster open and transparent innovation in artificial intelligence (AI). The priority is on safety, diversity, and economic opportunity. The alliance includes renowned entities such as AMD, […] The post IBM and META Forms AI Alliance for Responsible Innovation appeared first on Analytics Vidhya.

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A Beginner’s Guide to Data Warehousing

Unite.AI

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Businesses must employ certain techniques to organize, manage, and analyze this data. Enter data warehousing!

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Elon Musk is looking to raise $1 billion for xAI

Flipboard

Elon Musk is looking to raise 1/44 of a Twitter for his AI company, xAI. In other words, the man behind Tesla, SpaceX and X is seeking $1 billion in funding for his next venture.

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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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Everything You Need to Know about Small Language Models (SLM) and its Applications

Marktechpost

Large Language Models (LLMs), like GPT, PaLM, LLaMA, etc., have attracted much interest because of their incredible capabilities. Their ability to utilize the strength of Natural Language Processing, Generation, and Understanding by generating content, answering questions, summarizing text, and so on have made LLMs the talk of the town in the last few months.

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AI Is Testing the Limits of Corporate Governance

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Can AI safety shed any light on old corporate governance problems? And can the law and economics of corporate governance help us frame the new problems of AI safety? The author identifies five lessons — and one dire warning — on the corporate governance of AI and other socially sensitive technologies that have been made vivid by the corporate turmoil at OpenAI.

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Max Planck Researchers Introduce PoseGPT: An Artificial Intelligence Framework Employing Large Language Models (LLMs) to Understand and Reason about 3D Human Poses from Images or Textual Descriptions

Marktechpost

Human posture is crucial in overall health, well-being, and various aspects of life. It encompasses the alignment and positioning of the body while sitting, standing, or lying down. Good posture supports the optimal alignment of muscles, joints, and ligaments, reducing the risk of muscular imbalances, joint pain, and overuse injuries. It helps distribute the body’s weight evenly, preventing excessive stress on specific body parts.

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Bordeaux Wine Snobs Have a Point, According to This Computer Model

Flipboard

With machine learning, scientists are trying to chemically define the murky concept of terroir. The models might be useful for detecting wine fraud. In the Bordeaux region of southwest France, scores of vineyard estates transform finicky grapes into bold blends of red wine.

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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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This AI Paper Proposes ‘GREAT PLEA’ Ethical Framework: A Military-Inspired Approach for Responsible AI in Healthcare

Marktechpost

A group of researchers from various institutions, including the University of Pittsburgh, Weill Cornell Medicine, Telemedicine & Advanced Technology Research Center, Uniformed Services University, Brooke Army Medical Center, and University of Pittsburgh Medical Center have examined the ethical principles of generative AI in healthcare, particularly focusing on transparency, bias modeling, and ethical decision-making concerns.

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Replicate Raises $40 Million For Its Library Of Open Source AI Models

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Amid the AI land grab, open source models whose code is available to anyone to modify and use are catching up to their proprietary counterparts. They’re getting bigger (Meta’s Llama 2 is trained on 70 billion parameters) and even getting better than ChatGPT at performing specific tasks.

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This AI Paper from Qualcomm AI Research Unveils EDGI: A Groundbreaking Equivariant Diffuser for Advanced Model-Based Reinforcement Learning and Efficient Planning

Marktechpost

There are symmetries everywhere. The universal principles of physics hold in both space and time. They exhibit symmetry when spatial coordinates are translated, rotated, and shifted in time. Additionally, the system is symmetric about a permutation of the labels if several similar or equivalent items are labeled with numbers. Embodied agents encounter this structure, and many everyday robotic activities display temporal, spatial, or permutation symmetries.

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Wine drinkers may soon get help sniffing out fraudulent products

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Researchers have created an artificial intelligence tool that is capable of tracing wines back to their origins, using a chemical analysis that can warn consumers of potential fraudsters.

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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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Google AI and Tel Aviv University Researchers Present an Artificial Intelligence Framework Uniting a Text-to-Image Diffusion Model with Specialized Lens Geometry for Image Rendering

Marktechpost

Recent progress in image generation leverages large-scale diffusion models trained on paired text and image data, incorporating diverse conditioning approaches for enhanced visual control. These methods range from explicit model conditioning to modifying pretrained architectures for new modalities. Fine-tuning text-conditioned models using extracted image features like depth enables image reconstruction.

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Mistral AI nears $2B valuation — less than 12 months after founding

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European contributions might have been a little late to join the generative AI investment party, but that does not mean they will not end up rivalling some of the earlier North American frontrunners.

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CMU Researchers Unveil Diffusion-TTA: Elevating Discriminative AI Models with Generative Feedback for Unparalleled Test-Time Adaptation

Marktechpost

Diffusion models are used for generating high-quality samples from complex data distributions. Discriminative diffusion models aim to leverage the principles of diffusion models for tasks like classification or regression, where the goal is to predict labels or outputs for a given input data. By leveraging the principles of diffusion models, discriminative diffusion models offer advantages such as better handling of uncertainty, robustness to noise, and the potential to capture complex dependenc

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We could see Google's true ChatGPT competitor as soon as this week

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We could get our first look at Gemini in action later this week. Google has been working on a new large language model (LLM) called Gemini that will eventually replace its current PaLM 2 AI architecture.

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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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Researchers from the University of Geneva Investigate a Graph-based Machine Learning Model to Predict Risks of Inpatient Colonization by Multidrug-Resistant (MDR) Enterobacteriaceae

Marktechpost

Machine learning has emerged as a very important tool in healthcare, revolutionizing various aspects of the industry. One of its primary applications lies in diagnostics, where machine learning algorithms analyze vast datasets, including medical images, genetic information, and patient records, to identify patterns and make accurate predictions. Earlier, machine learning models were used to detect patients susceptible to infection and support Infection Prevention and Control (IPC) programs.

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The End of the World, According to AI

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In Debbie Urbanski's After World, an artificial intelligence narrates the end of humanity. The author tells Esquire how ChatGPT helped her write the novel—and how it changed her views on AI.

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific form or pattern like text, images, or social media posts, both continue to grow as they are produced and consumed by various organizations. For instance, according to International Data Corporation (IDC), the world’s data volume is expected to increase tenfold by 2025, with unstructured data accounting for a significant portion.

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