Mon.May 13, 2024

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The Growing Threat of Data Leakage in Generative AI Apps

Unite.AI

The age of Generative AI (GenAI) is transforming how we work and create. From marketing copy to generating product designs, these powerful tools hold great potential. However, this rapid innovation comes with a hidden threat: data leakage. Unlike traditional software, GenAI applications interact with and learn from the data we feed them. The LayerX study revealed that 6% of workers have copied and pasted sensitive information into GenAI tools, and 4% do so weekly.

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How to Easily Learn Any Language Using AI

Analytics Vidhya

Introduction Language learning platforms have comprehensively transformed the learning environment over the past few years. This has been possible because of the latest AI technology. The old days of strict classrooms and textbooks that remained the same are over. Students now have the opportunity to participate in dynamic and individualized language learning experiences designed for […] The post How to Easily Learn Any Language Using AI appeared first on Analytics Vidhya.

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Scaling generative AI with flexible model choices

IBM Journey to AI blog

This blog series demystifies enterprise generative AI (gen AI) for business and technology leaders. It provides simple frameworks and guiding principles for your transformative artificial intelligence (AI) journey. In the previous blog , we discussed the differentiated approach by IBM to delivering enterprise-grade models. In this blog, we delve into why foundation model choices matter and how they empower businesses to scale gen AI with confidence.

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Create Your Own GPT-4 Powered AI Chatbot Using Watermelon AI

Analytics Vidhya

Introduction The digital age is a new era that has changed how customer service works. Organizations increasingly see great importance in providing outstanding customer service to convert casual customers into loyal clients and for their prosperity and sustenance. And here comes a new contender, Watermelon AI. This AI tool was introduced within this competitive market […] The post Create Your Own GPT-4 Powered AI Chatbot Using Watermelon AI 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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Intel’s Aurora achieves exascale to become the fastest AI system

AI News

Intel , in collaboration with Argonne National Laboratory and Hewlett Packard Enterprise (HPE), has revealed that its Aurora supercomputer has exceeded the exascale computing threshold reaching speeds of 1.012 exaflops to become the fastest AI-focused system. “The Aurora supercomputer surpassing exascale will allow it to pave the road to tomorrow’s discoveries,” said Ogi Brkic, Intel’s VP and GM of Data Centre AI Solutions.

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Microsoft’s Leap Towards Fault-Tolerant Quantum Computing with Azure Quantum

Unite.AI

Quantum computing , with its promise of solving complex problems that classical computers struggle with, has been a topic of intense research and development. Microsoft, a key player in the quantum computing field, is making significant strides toward achieving fault-tolerant quantum computing at scale through its Azure Quantum platform. This article takes a closer look at these developments, explaining their significance and considering how they might shape the future of computing.

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GPT-4o: Free GPT-4 for All Unveiled in OpenAI’s Spring Update

Analytics Vidhya

OpenAI’s Spring Update event is abuzz with excitement as Chief Technology Officer Mira Murati revealed three new updates. Firstly, she announced the much-awaited GPT-4o, promising enhanced text, visual, and audio capabilities to ChatGPT. The second update revealed a desktop version of the model with an improved UI/UX design. Saving the best part for the end, […] The post GPT-4o: Free GPT-4 for All Unveiled in OpenAI’s Spring Update appeared first on Analytics Vidhya.

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Unveiling ChatGPT-4o: Next-Gen Features and Their Transformative Impact

Unite.AI

The latest iteration of OpenAI's conversational model, ChatGPT-4o (“o” for “omni”) has arrived, bringing with it a host of new features that promise to revolutionize the way we interact with AI. Building on the success of its predecessors, GPT-4o introduces significant advancements in language understanding, contextual awareness, and user interaction capabilities.

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The Omniscient GPT-4o + ChatGPT is HERE!

Analytics Vidhya

Introduction Sam Altman said something big was loading, and now it is here…GPT-4o is out, and everyone is stunned by its Capabilities!!! I would say – It is ABSOLUTELY wild and What a time to be Alive. OpenAI’s flagship model often sparks excitement and speculation. The latest AI community sensation is the GPT-4o, OpenAI’s brainchild. […] The post The Omniscient GPT-4o + ChatGPT is HERE!

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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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Microsoft Unveils Groundbreaking €4 Billion AI Investment in France

Unite.AI

In a historic move, Microsoft has announced its largest investment to date in France , solidifying the tech giant's commitment to accelerating the adoption of artificial intelligence and fostering digital innovation within the country. During the prestigious Choose France summit, the company unveiled a sweeping €4 billion investment package designed to propel France to the forefront of the AI revolution.

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A Comprehensive Guide on i-Transformer

Analytics Vidhya

Introduction Transformers have revolutionized various domains of machine learning, notably in natural language processing (NLP) and computer vision. Their ability to capture long-range dependencies and handle sequential data effectively has made them a staple in every AI researcher and practitioner’s toolbox. However, the traditional Transformer architecture has limitations when it comes to specific types of […] The post A Comprehensive Guide on i-Transformer appeared first on Analyt

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Paul Roscoe, Chief Executive Officer, CLEW Medical – Interview Series

Unite.AI

Paul Roscoe is the Chief Executive Officer of CLEW Medical. Prior to joining Clew, Mr Roscoe was CEO of Trinda Health, and was responsible for establishing the company as the industry leader in quality oriented clinical documentation solutions. CLEW Medical offers hospitals, healthcare systems and intensive care units advanced clinical intelligence and patient diagnostics using AI-powered, FDA-cleared predictive analytics and proprietary critical care models.

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Why Learn Python? 15 Reasons to Learn Python in 2024

Analytics Vidhya

Introduction Acquiring a programming language is a crucial step towards a better future, with Python being a top choice due to its flexibility, power, and accessibility. Python is used in various fields like website development, machine learning, and data analysis. Studying Python offers numerous opportunities in a rapidly changing technology field.

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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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Enhancing Anomaly Detection with Adaptive Noise: A Pseudo Anomaly Approach

Marktechpost

Anomaly detection has gained traction in various fields such as surveillance, medical analysis, and network security. Typically approached as a one-class classification problem, autoencoder (AE) models are commonly used. However, AEs tend to reconstruct anomalies too well, reducing discrimination between normal and abnormal data. Memory-based networks and pseudo anomalies have been proposed to address this but with limitations.

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28 Websites to Find Datasets for your Projects

Analytics Vidhya

Whether you’re a student exploring new concepts or a seasoned professional, there’s an undeniable truth we all stumble upon: the importance of quality data. We’ve all heard the saying, “garbage in, garbage out,” and it’s a reminder that our projects are only as good as the data we feed them. Seeking robust and relevant datasets […] The post 28 Websites to Find Datasets for your Projects appeared first on Analytics Vidhya.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock. This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon throu

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MISATO: A Machine Learning Dataset of Protein-Ligand Complexes for Structure-based Drug Discovery

Marktechpost

In the dynamic field of AI technology, a pressing challenge for the drug discovery (DD) community, especially in structural biology and computational chemistry, is the creation of innovative models finely tuned for drug design. The core challenge lies in accurately and efficiently predicting molecular properties crucial for understanding protein-ligand interactions and optimizing binding affinities, essential for advancing effective drug development initiatives.

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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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Jake Heller Interview With Artificial Lawyer: ‘We Never Planned For This’

Artificial Lawyer

Last year, Jake Heller, the co-founder of legal research pioneer Casetext, sold the business to Thomson Reuters for $650m in an all-cash deal. At the.

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Drug Discovery, STAT! NVIDIA, Recursion Speed Pharma R&D With AI Supercomputer

NVIDIA

Described as the largest system in the pharmaceutical industry, BioHive-2 at the Salt Lake City headquarters of Recursion debuts today at No. 35, up more than 100 spots from its predecessor on the latest TOP500 list of the world’s fastest supercomputers. The advance represents the company’s most recent effort to accelerate drug discovery with NVIDIA technologies.

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This AI Paper from Cohere Enhances Language Model Stability with Automated Detection of Under-trained Tokens in LLMs

Marktechpost

Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations. While effective tokenization can significantly enhance a model’s performance, issues arise when tokens within the model’s vocabulary are underrepresented or absent in the training datasets, leading to what researchers term ‘

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Don’t Blame The GC, The CEO Decides

Artificial Lawyer

Sometimes it can appear from the outside that inhouse lawyers are reticent about legal innovation and tech adoption, but if you ‘follow the money’ then.

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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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This AI Research Introduces SubGDiff: Utilizing Diffusion Model to Improve Molecular Representation Learning

Marktechpost

Molecular representation learning is an essential field focusing on understanding and predicting molecular properties through advanced computational models. It plays a significant role in drug discovery and material science, providing insights by analyzing molecular structures. The fundamental challenge in molecular representation learning involves efficiently capturing the intricate 3D structures of molecules, which are crucial for accurate property prediction.

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Few Shot NLP Intent Classification

Towards AI

Last Updated on May 14, 2024 by Editorial Team Author(s): Marie Stephen Leo Originally published on Towards AI. Comparing SetFit, FastFit, and Semantic Router to find the best NLP chatbot intent detection algorithmImage generated by Author using ChatGPT In the pre-ChatGPT era, chatbot frameworks like Dialogflow and Rasa used intent detection to respond only to topics that the developers explicitly programmed, ensuring they would stick closely to their intended use and prevent prompt injections.

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Breaking Down Barriers: Scaling Multimodal AI with CuMo

Marktechpost

The advent of large language models (LLMs) like GPT-4 has sparked excitement around enhancing them with multimodal capabilities to understand visual data alongside text. However, previous efforts to create powerful multimodal LLMs have faced challenges in scaling up efficiently while maintaining performance. To mitigate these issues, the researchers took inspiration from the mixture-of-experts (MoE) architecture, widely used to scale up LLMs by replacing dense layers with sparse expert modules.

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The AI Arms Race in Big Tech: An Overview of Emerging Enterprise Solutions

Topbots

Setting the Stage: The Shift from Consumer to Enterprise AI In recent years, the surge of generative AI breakthroughs has not only generated global buzz but also significantly influenced consumer behaviors, prompting millions to embrace these technologies daily. Initially, the market saw a wave of startups racing to introduce innovative, buzzworthy generative AI products targeting individual users.

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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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Vision Transformers (ViTs) vs Convolutional Neural Networks (CNNs) in AI Image Processing

Marktechpost

Vision Transformers (ViT) and Convolutional Neural Networks (CNN) have emerged as key players in image processing in the competitive landscape of machine learning technologies. Their development marks a significant epoch in the ongoing evolution of artificial intelligence. Let’s delve into the intricacies of both technologies, highlighting their strengths, weaknesses, and broader implications on copyright issues within the AI industry.

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BP Mulls Snapping Up Supercharger Sites Following Tesla Layoffs

Extreme Tech

Days after Elon Musk terminated most of the Supercharger team, BP's electric vehicle charging division is looking to pick up Tesla's slack.

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Intel Releases a Low-bit Quantized Open LLM Leaderboard for Evaluating Language Model Performance through 10 Key Benchmarks

Marktechpost

The domain of large language model (LLM) quantization has garnered attention due to its potential to make powerful AI technologies more accessible, especially in environments where computational resources are scarce. By reducing the computational load required to run these models, quantization ensures that advanced AI can be employed in a wider array of practical scenarios without sacrificing performance.

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