Mon.Apr 22, 2024

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How to Run Llama 3 Locally?

Analytics Vidhya

Introduction Discover the latest milestone in AI language models with Meta’s Llama 3 family. From advancements like increased vocabulary sizes to practical implementations using open-source tools, this article dives into the technical details and benchmarks of Llama 3. Learn how to deploy and run these models locally, unlocking their potential within consumer hardware.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

AI can be a force for good, but it might also lead to environmental and sustainability concerns. IBM is dedicated to the responsible development and deployment of this technology, which can enable our clients to meet their sustainability goals. “AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics

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Language Translation Using LSTM

Analytics Vidhya

Introduction In natural language processing (NLP), it is important to understand and effectively process sequential data. Long Short-Term Memory (LSTM) models have emerged as a powerful tool for tackling this challenge. They offer the capability to capture both short-term nuances and long-term dependencies within sequences. Before delving into the intricacies of LSTM language translation models, […] The post Language Translation Using LSTM appeared first on Analytics Vidhya.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Journey to AI blog

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

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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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Google’s TransformerFAM: A Breakthrough in Long-Context Processing

Analytics Vidhya

Google researchers have unveiled TransformerFAM, a novel architecture set to revolutionize long-context processing in large language models (LLMs). By integrating a feedback loop mechanism, TransformerFAM promises to enhance the network’s ability to handle infinitely long sequences. This addresses the limitations posed by quadratic attention complexity.

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Let the Prompt Battle Begin #11

Analytics Vidhya

Are you ready to fuel your creativity? Join our Prompt Battle! Share your prompts and let’s create magic together. Whether you’re a seasoned creator or just starting out, this is your chance to shine. Drop yourprompts in the comments and let the battle for brilliance begin! How does it Work? Step 1: You give us […] The post Let the Prompt Battle Begin #11 appeared first on Analytics Vidhya.

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Separation of Concerns: Achieving Breakthrough Synergy in Decision Management

Unite.AI

At its core, software is written to automate functions – fundamentally that is through workflow that orchestrates over actions. The most essential action within software that affects business outcomes are business decisions. But oftentimes, the employee who initially established the guiding rules for a software decision will eventually leave the company – only for their replacement to tweak the criteria and alter the code accordingly.

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Samsung Unveils Fastest-Ever DRAM Chip for AI Applications

Analytics Vidhya

Samsung Electronics has introduced a revolutionary LPDDR5X DRAM chip, heralding a new era in artificial intelligence (AI) applications. This chip boasts unparalleled speed, capacity, and power efficiency, setting a new standard for on-device AI processing. Let’s find out more about this latest innovation from Samsung. Also Read: Meta Unveils Its Best AI Chip Yet Technological […] The post Samsung Unveils Fastest-Ever DRAM Chip for AI Applications appeared first on Analytics Vidhya.

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Deployable architecture on IBM Cloud: Simplifying system deployment

IBM Journey to AI blog

Deployable architecture (DA) refers to a specific design pattern or approach that allows an application or system to be easily deployed and managed across various environments. A deployable architecture involves components, modules and dependencies in a way that allows for seamless deployment and makes it easy for developers and operations teams to quickly deploy new features and updates to the system, without requiring extensive manual intervention.

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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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Free Course on Business Analytics

Analytics Vidhya

Introduction In the data-driven world of today, understanding business analytics is like having a supermachine in your professional toolbox. It involves more than just crunching numbers — it involves uncovering insights that can change the game and propel success. That’s why business analysts are in high demand. But the question is “How to become a […] The post Free Course on Business Analytics appeared first on Analytics Vidhya.

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Transforming Telehealth: How AI-Powered Virtual Consultations and Remote Monitoring Are Shaping the Future of Healthcare

Unite.AI

As technology reshapes various industries, healthcare is undergoing some of the most significant transformations. Originally developed to monitor astronauts' health in space, telehealth has emerged as a crucial healthcare tool, particularly during the COVID-19 pandemic. This development has now entered a new phase with the integration of Artificial Intelligence (AI).

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Best Online Microsoft Azure Certification

Analytics Vidhya

Introduction Looking to boost your career in cloud computing? Microsoft Azure certifications are the way to go! In today’s digital era, businesses are rapidly adopting cloud solutions, and Azure is at the forefront of this transformation. Whether you’re a seasoned IT professional or just starting out, getting certified in Azure can open up a world […] The post Best Online Microsoft Azure Certification appeared first on Analytics Vidhya.

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Daniel Ciolek, Head of Research and Development at InvGate – Interview Series

Unite.AI

Daniel is a passionate IT professional with more than 15 years of experience in the industry. He has a PhD. in Computer Science and a long career in technology research. His interests fall in multiple areas, such as Artificial Intelligence, Software Engineering, and High Performance Computing. Daniel is the Head of Research and Development at InvGate, where he leads the R&D initiatives.

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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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Exploring Vanishing and Exploding Gradients in Neural Networks

Analytics Vidhya

Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. This journey delves into the depth of gradient descent, activation function anomalies, and weight initialization. Solutions like ReLU activation and gradient clipping promise to revolutionize deep learning, unlocking secrets for training success.

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Real-world usage of LLMs in Journalism

Ehud Reiter

I see a lot of claims that generative AI is super-fantastic and will “change everything”; I also see claims that generative AI is either useless or disastrous. For what its worth, my opinion is that its a very useful tech which will have a real impact on productivity and quality of life, but its not going to “change everything” or destroy civilisation.

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Microsoft’s New AI Model Made Mona Lisa Sing!

Analytics Vidhya

Microsoft has recently introduced VASA-1, an innovative AI model that breathes life into still images by animating them with lifelike talking faces. A demo video created using this model, showing Mona Lisa rapping, has gone viral, sparking excitement among the masses. However, this new technology has also raised concerns due to its potential applications and […] The post Microsoft’s New AI Model Made Mona Lisa Sing!

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Tencent AI Lab Developed AlphaLLM: A Novel Machine Learning Framework for Self-Improving Language Models

Marktechpost

Large Language Models (LLMs) stand out for their ability to parse and generate human-like text across various applications. These models have become integral to technologies that automate and enhance text-based tasks. Despite their advanced capabilities, modern LLMs face significant challenges in scenarios requiring intricate reasoning and strategic planning.

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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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Salary Trends in GenAI – One of the Lucrative Jobs in the 21st Century

Analytics Vidhya

Introduction The birth of AI in the 1950s, its maturation in the 1960s, and the boom in the 1980s have resulted in today’s GenAI era—a generation witnessing the culmination of decades of innovation, laying the foundation for unprecedented advancements in technology, society, and beyond. GenAI, a subset of artificial intelligence, is known for increased efficiency, […] The post Salary Trends in GenAI – One of the Lucrative Jobs in the 21st Century appeared first on Analytics Vidhya.

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Top Data Visualization Books to Read in 2024

Marktechpost

In the age of the data revolution, creating compelling visualizations is no longer a luxury but has now become a necessity. With the large amounts of data generated daily, effective data visualization helps visualize patterns and relationships, easily share information, and explore opportunities. This article lists the top data visualization books one should read in 2024 to understand the different concepts and techniques of visualization and create graphs capable of inspiring actions.

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Microsoft’s VASA-1 Makes Fake Look Like Real

Analytics Vidhya

Introduction In multimedia and communication, the human face is not just a visage but a dynamic canvas, where every subtle movement and expression can articulate emotions, convey unspoken messages, and foster empathetic connections. VASA-1, the premiere model introduced in this work, is a framework for generating realistic talking faces with appealing visual affective skills (VAS) […] The post Microsoft’s VASA-1 Makes Fake Look Like Real appeared first on Analytics Vidhya.

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. A Gartner, Inc. survey revealed that 87 percent of business leaders expect to increase their organization’s investment in sustainability over the next years. This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability.

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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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What is the Language Processing Unit (LPU)? Its Role in AI Hardware

Marktechpost

The Language Processing Unit (LPU) represents a groundbreaking advancement in processor technology, specifically engineered to optimize tasks associated with natural language processing (NLP). Unlike general-purpose CPUs and GPUs, LPUs are tailored for the sequential processing demands inherent in understanding and generating human language. This specialization offers significant improvements in efficiency and performance for language-based applications.

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Use the moment-ratio diagram to visualize the sampling distribution of skewness and kurtosis

SAS Software

The moment-ratio diagram is a tool that is useful when choosing a distribution that models a sample of univariate data. As I show in my book (Simulating Data with SAS, Wicklin, 2013), you first plot the skewness and kurtosis of the sample on the moment-ratio diagram to see what common [.] The post Use the moment-ratio diagram to visualize the sampling distribution of skewness and kurtosis appeared first on SAS Blogs.

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Meet LaunchFlow: An AI Dev Startup that Provides an Infrastructure-from-Code Tool to Improve Your Developer Experience on GCP and AWS Dramatically

Marktechpost

Cloud infrastructure is a key component of AI development and implementation in the modern era. There should be less complexity in managing and utilizing cloud infrastructure. Establishing deployment pipelines is challenging, and keeping cloud settings and application code in sync is a pain. Most companies create their own DevOps automation by combining Terraform, Pulumi, in-house scripts, and variables set in the environment.

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Some Analysts Question Nvidia's Long-Term Dominance in AI

Extreme Tech

The company's AI accelerators' high pricing and power consumption have led to some analysts questioning if Nvidia's strategy is sustainable.

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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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PROSE-PDE: A Foundation Model for Solving and Extrapolating Partial Differential Equations

Marktechpost

Have you ever wondered how complex phenomena like fluid flows, heat transfer, or even the formation of patterns in nature can be described mathematically? The answer lies in partial differential equations (PDEs), which are powerful tools used to model and understand intricate spatio-temporal processes across various scientific domains. However, solving these equations analytically can be a daunting task, often requiring computational methods or simulations.

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Algorithmic Bias in Facial Recognition Technologies

Towards AI

Last Updated on April 25, 2024 by Editorial Team Author(s): Nimit Bhardwaj Originally published on Towards AI. Algorithmic Bias in Facial Recognition Technologies Exploring how facial recognition systems can perpetuate biases. Facial recognition (FR) technologies have become an increasingly common AI used in our day-to-day lives. Simply put this refers to technologies that can identify or group individuals from image frames — both still and video [1].

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This AI Paper Proposes a Pipeline for Improving Imitation Learning Performance with a Small Human Demonstration Budget

Marktechpost

The practical application of robotic technology in automatic assembly processes holds immense value. However, traditional robotic systems have struggled to adapt to the demands of production environments characterized by high-mix, low-volume manufacturing. Robotic learning presents a potential solution to this challenge by enabling robots to acquire assembly skills through demonstration rather than scripted trajectories, thus enhancing adaptability and flexibility.

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