Mon.Jan 15, 2024

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What Does Quantum Computing Hold for Generative AI?

Unite.AI

Generative AI , such as large language models (LLMs) like ChatGPT, is experiencing unprecedented growth, as showcased in a recent survey by McKinsey Global. These models, designed to generate diverse content ranging from text and visuals to audio, find applications in healthcare, education, entertainment, and businesses. However, the expansive benefits of generative AI are accompanied by significant financial and environmental challenges.

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Kill Processes in Linux: Understanding the Kill Command

Analytics Vidhya

Introduction In the world of Linux, managing processes is a crucial task for system administrators and users alike. Sometimes, it becomes necessary to terminate or kill processes in Linux, causing issues or consuming excessive resources. This article will explore understanding the kill command in Linux, providing you with the knowledge and tools to manage your […] The post Kill Processes in Linux: Understanding the Kill Command appeared first on Analytics Vidhya.

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IMF: AI could boost growth but worsen inequality

AI News

The International Monetary Fund (IMF) predicts that AI could boost global productivity and growth, but may displace jobs and worsen inequality. In a new analysis, IMF economists examined AI’s potential impact on the global labour market. While many studies foresee jobs being automated by AI, the technology will often complement human work instead.

Big Data 310
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Chinese Government and Military Acquire Nvidia Chips Amidst US Export Ban

Analytics Vidhya

In a bold move, Chinese military bodies, state-run AI research institutes, and universities have managed to acquire Nvidia chips, defying the US export ban. Despite multiple restrictions, the demand for these high-end chips remains robust, raising questions about the efficacy of US efforts to cut off China’s access to advanced semiconductors. Also Read: Game Changer […] The post Chinese Government and Military Acquire Nvidia Chips Amidst US Export Ban appeared first on Analytics Vidh

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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AI-Driven Platform Could Streamline Drug Development

Unite.AI

Researchers at the University of Cambridge have developed an AI-driven platform that dramatically accelerates the prediction of chemical reactions, a crucial step in drug discovery. Moving away from traditional trial-and-error methods, this innovative approach combines automated experiments with machine learning. This advancement, validated on over 39,000 pharmaceutically relevant reactions, could significantly streamline the process of creating new drugs.

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Common Flaws in NLP Evaluation Experiments

Ehud Reiter

The ReproHum project (where I am working with Anya Belz (PI) and Craig Thomson (RF) as well as many partner labs) is looking at the reproducibility of human evaluations in NLP. So far our findings have been pretty depressing. We discovered early on in the project that none of the papers we considered replicating had sufficient information for replicability and that only 13% of authors were willing and able to provide the missing information ( paper ) ( blog ).

NLP 259
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Direct Preference Optimization (DPO): Andrew Ng’s Perspective on the Next Big Thing in AI

Analytics Vidhya

In the dynamic realm of language model development, a recent groundbreaking paper titled “Direct Preference Optimization (DPO)” by Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Chris Manning, and Chelsea Finn, has captured the attention of AI luminaries like Andrew Ng. This article delves into the revolutionary aspects of DPO and its potential to redefine […] The post Direct Preference Optimization (DPO): Andrew Ng’s Perspective on the Next Big Thing in AI

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Unlocking value: Top digital transformation trends

IBM Journey to AI blog

While digital transformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. They face an ever-increasing cadre of startups and established organizations, all of whom are also trying to keep up to date on digital transformation trends to achieve a competitive edge.

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AI Can Learn to Deceive: Anthropic Research

Analytics Vidhya

In a startling revelation, researchers at Anthropic have uncovered a disconcerting aspect of Large Language Models (LLMs) – their capacity to behave deceptively in specific situations, eluding conventional safety measures. The study delves into the nuances of AI behavior and raises critical questions about the potential risks associated with advanced language models.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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How IBM process mining unleashed new efficiencies in BoB-Cardif Life

IBM Journey to AI blog

Enterprises now recognize the importance of leveraging innovative technologies to drive digital transformation and achieve cost efficiency. However, a lack of precise top-level planning and a narrow focus on technology without integration with business needs led to significant investments with suboptimal results for many companies. The path of digital transformation is fraught with challenges.

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The Ultimate Guide to Acing Your Git Interview Questions in 2024

Analytics Vidhya

Introduction In today’s software development landscape, Git has become an essential tool for version control. Whether you are a beginner or an experienced developer, having a strong understanding of Git is crucial for success. This article will explore 40 Git interview questions to help you prepare for your next job interview in 2024. Also Read: […] The post The Ultimate Guide to Acing Your Git Interview Questions in 2024 appeared first on Analytics Vidhya.

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5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI). AI plays a pivotal role in unlocking value from data and gaining deeper insights into the extensive information that governments collect to serve their citizens.

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What are the Differences Between Yield and Return in Python?

Analytics Vidhya

Introduction Python is a versatile programming language that offers a variety of features to make coding easier and more efficient. Two such features are yield and return, which are often used interchangeably but have distinct differences. In this blog, we will explore the power of yield and return in Python and understand when to use […] The post What are the Differences Between Yield and Return in Python?

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Navigating the Future: AI’s Impact on Remote Work Dynamics and Innovation

Unite.AI

The landscape of work has undergone a significant transformation in recent years, with remote work emerging as a prevalent mode of operation. As organizations adapt to this new normal, the integration of artificial intelligence (AI) into remote work environments has played a pivotal role in reshaping dynamics, driving innovation, and streamlining operations.

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How To Create 3D Images For Instagram Using Bing AI?

Analytics Vidhya

Introduction In the realm of artificial intelligence, Bing AI has emerged as a powerful tool, offering many features that can revolutionize how we interact with digital content. One such feature is the ability to create 3D images, which has significant implications for social media platforms. The importance of 3D images in social media cannot be […] The post How To Create 3D Images For Instagram Using Bing AI?

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Bringing the full power of Copilot to more people and businesses

Microsoft AI

As we kick off a new year, we’re thrilled to see people increasingly using and loving Microsoft Copilot for work and life. Our goal is to empower every person and every organization on the planet to achieve more by bringing Copilot, the everyday AI companion, to millions of people around the world. We have reached.

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Mastering f-strings in Python: The Ultimate Guide to String Formatting

Analytics Vidhya

Introduction String formatting is an essential aspect of programming, allowing us to manipulate and present data in a readable and organized manner. In Python, several methods are available for string formatting, each with its advantages and use cases. One such method is f-strings, which provide a concise and efficient way to format strings. In this […] The post Mastering f-strings in Python: The Ultimate Guide to String Formatting appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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CMU AI Researchers Unveil TOFU: A Groundbreaking Machine Learning Benchmark for Data Unlearning in Large Language Models

Marktechpost

LLMs are trained on vast amounts of web data, which can lead to unintentional memorization and reproduction of sensitive or private information. This raises significant legal and ethical concerns, especially regarding violating individual privacy by disclosing personal details. To address these concerns, the concept of unlearning has emerged. This approach involves modifying models after training to deliberately ‘forget’ certain elements of their training data.

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Comprehensive Guide to Excel Interview Questions

Analytics Vidhya

Introduction Excel, a powerful tool in the world of data analysis and business, is a must-have skill for many job roles. This article aims to provide a comprehensive guide to Excel interview questions, covering basic, average, and advanced levels. Whether you’re a beginner or an expert, this guide will help you prepare for your next […] The post Comprehensive Guide to Excel Interview Questions appeared first on Analytics Vidhya.

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This AI Paper from Apple Unveils AlignInstruct: Pioneering Solutions for Unseen Languages and Low-Resource Challenges in Machine Translation

Marktechpost

Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data but need help with underrepresented languages.

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Quiz of the Day (MLOps) #9

Analytics Vidhya

Ready to challenge your knowledge! This quiz series features 10 thought-provoking questions on MLOps Interview Questions and MLOps Guide. Whether you’re an expert or a curious learner, our quizzes cater to all levels. Embark on this journey of continuous learning and test your knowledge across pivotal topics shaping the future of analytics and technology.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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This AI Paper from China Unveils ‘Activation Beacon’: A Groundbreaking AI Technique to Expand Context Understanding in Large Language Models

Marktechpost

Large language models (LLMs) face a hurdle in handling long contexts due to their constrained window length. Although the context window length can be extended through fine-tuning, this incurs significant training and inference time costs, adversely affecting the LLM’s core capabilities. Current LLMs, such as Llama-1 and Llama-2, have fixed context lengths, hindering real-world applications.

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AI Will Now Manage Bengaluru Traffic

Analytics Vidhya

Bengaluru, known for its bustling streets and chronic traffic issues, is set to undergo a transformative change. The city’s traffic department has launched an application, named ASTraM (Actionable Intelligence for Sustainable Traffic Management), for better traffic management. The AI-powered app revolutionizes traffic management by providing real-time insights and strategic solutions to address the city’s notorious […] The post AI Will Now Manage Bengaluru Traffic appeared firs

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Meet MedGAN: A Deep Learning Model based on Wasserstein Generative Adversarial Networks and Graph Convolutional Networks for Novel Molecule Design

Marktechpost

The growing urgency for innovative drugs in various medical fields, such as antibiotics, cancer treatments, autoimmune disorders, and antiviral therapies, underscores the need for increased research and development efforts. Drug discovery, a complex process involving exploring a vast chemical space, can benefit from computational methods and, more recently, deep learning.

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World Economic Forum Highlights AI as a Global Threat

Analytics Vidhya

The World Economic Forum (WEF) has recently unveiled its 19th Global Risks Report, shedding light on the emergence of artificial intelligence (AI) and quantum computing as significant global threats. In this comprehensive analysis, we delve into the multifaceted implications outlined by the WEF, ranging from adverse outcomes to potential disruptions across industries.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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This AI Paper Demonstrates How Decoder-Only Transformers Mimic Infinite Multi-State Recurrent Neural Networks RNNs and Introduces TOVA for Enhanced Efficiency

Marktechpost

Transformers have taken over from recurrent neural networks (RNNs) as the preferred architecture for natural language processing (NLP). Transformers stand out conceptually because they directly access each token in a sequence, unlike RNNs that rely on maintaining a recurring state of past inputs. Decoders have emerged as a prominent variant within the realm of transformers.

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Google Cloud Revolutionizes Retail with GenAI Products

Analytics Vidhya

In a bid to reshape the retail landscape, Google Cloud has introduced cutting-edge generative AI (GenAI) products at the National Retail Federation’s annual conference in NYC. These innovative solutions aim to personalize online shopping experiences and optimize back-office operations, signaling Google’s strong push into the GenAI market.

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Meet Lightning Attention-2: The Groundbreaking Linear Attention Mechanism for Constant Speed and Fixed Memory Use

Marktechpost

In sequence processing, one of the biggest challenges lies in optimizing attention mechanisms for computational efficiency. Linear attention has proven to be an efficient attention mechanism with its ability to process tokens in linear computational complexities. It has recently emerged as a promising alternative to conventional softmax attention. This theoretical advantage allows it to handle sequences of unlimited length while maintaining a constant training speed and fixed memory consumption.