Tue.Jul 09, 2024

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Behind the Screen: How Netflix Uses Data Science?

Analytics Vidhya

Introduction Just binge-watched that K-drama over the weekend, and now your Netflix recommendations turn into an eerily perfect lineup of similar shows? That’s no coincidence. Netflix employs sophisticated data strategies to ensure it’s tough to hit the stop button once you start watching, or you can say Netflix uses Data Science. Yep, your weekend binge […] The post Behind the Screen: How Netflix Uses Data Science?

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SenseTime SenseNova 5.5: China’s first real-time multimodal AI model

AI News

SenseTime has unveiled SenseNova 5.5, an enhanced version of its LLM that includes SenseNova 5o—touted as China’s first real-time multimodal model. SenseNova 5o represents a leap forward in AI interaction, providing capabilities on par with GPT-4o’s streaming interaction features. This advancement allows users to engage with the model in a manner akin to conversing with a real person, making it particularly suitable for real-time conversation and speech recognition applications.

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TRANSPOSE Function in Excel: Definition, Syntax, and Applications

Analytics Vidhya

Introduction In the realm of data analysis and manipulation, Excel remains a powerhouse tool. Among its many features, the TRANSPOSE function stands out for its ability to reorganize data quickly and efficiently. This function is particularly useful for data scientists and AI professionals who often need to restructure data to fit specific analytical needs.

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AI revolution in US education: How Chinese apps are leading the way

AI News

The success of Chinese AI education applications like Question.AI and Gauth in the US market comes at a time of fierce competition within China, where over 200 large language models—critical for generative AI services like ChatGPT—have been developed. As of March, more than half of these received approval from Chinese authorities for public release.

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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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Functional Programming vs Object-Oriented Programming

Analytics Vidhya

Introduction The most popular paradigms for programming are object-oriented programming and functional programming. They provide many approaches to the creation of software. Each paradigm has benefits, use cases that make sense, and guiding ideas. Knowing the differences and similarities between FP and OOP is necessary to choose the optimal approach for a particular problem.

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How to Make Custom ChatGPT?

Analytics Vidhya

Introduction When ChatGPT arrived, it revolutionized how we interact with AI, making tasks like summarizing articles and planning trips a breeze. Thanks to OpenAI, you can now create personalized ChatGPT models, called GPTs, tailored to your specific needs. In this tutorial, we’ll walk you through the simple process of creating your own GPTs in just […] The post How to Make Custom ChatGPT?

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AI revolution in US education: How Chinese apps are leading the way

AI News

The success of Chinese AI education applications like Question.AI and Gauth in the US market comes at a time of fierce competition within China, where over 200 large language models—critical for generative AI services like ChatGPT—have been developed. As of March, more than half of these received approval from Chinese authorities for public release.

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I Canceled my ChatGPT Plus Subscription. Here’s Why!

Analytics Vidhya

Introduction Large language models (LLMs) rapidly transform how we interact with information and complete tasks. Among these, Claude 3.5 Sonnet, developed by Anthropic AI, stands out for its exceptional capabilities. Experts out there are not even comparing but saying it will overshadow ChatGPT’s dominance. But what is so extraordinary about this model?

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Challenges in Evaluating LLMs

Ehud Reiter

Last week I gave a talk on Challenges in Evaluating LLMs, where I basically said that good evaluations of LLMs are possible but not easy. In particular, they require the experimenter to be familiar with challenges (see below) and also carefully design and execute the experiment. Unfortunately many NLP researchers do not do this, which means that a lot of published LLM evaluations are seriously flawed.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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KL Divergence: The Information Theory Metric that Revolutionized Machine Learning

Analytics Vidhya

Introduction Few concepts in mathematics and information theory have profoundly impacted modern machine learning and artificial intelligence, such as the Kullback-Leibler (KL) divergence. This powerful metric, called relative entropy or information gain, has become indispensable in various fields, from statistical inference to deep learning. In this article, we’ll dive deep into the world of KL […] The post KL Divergence: The Information Theory Metric that Revolutionized Machine Lear

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Paper Summary: The Effects of Communicating Uncertainty on Public Trust in Facts and Numbers

AI Impacts

by Anne Marthe van der Bles, Sander van der Linden, Alexandra L. J. Freeman, and David J. Spiegelhalter. (2020) [link]. Summary: Numerically expressing uncertainty when talking to the public is fine. It causes people to be less confident in the number itself (as it should), but does not cause people to lose trust in the source of that number. Uncertainty is inherent to our knowledge about the state of the world yet often not communicated alongside scientific facts and numbers.

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How to get Started with Gemini Flash 1.5’s Code Execution Feature?

Analytics Vidhya

Introduction Large Language Models, the successors to the Transformers have largely worked within the space of Natural Language Processing and Natural Language Understanding. From their introduction, they have been replacing the traditional rule-based chatbots. LLMs have a better ability to understand text and can create natural conversations, so they are replacing the conventional chatbots.

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How IBM and the Data & Trust Alliance are fostering greater transparency across the data ecosystem

IBM Journey to AI blog

Strong data governance is foundational to robust artificial intelligence (AI) governance. Companies developing or deploying responsible AI must start with strong data governance to prepare for current or upcoming regulations and to create AI that is explainable, transparent and fair. Transparency about data is essential for any organization using data to drive decision-making or shape business strategies.

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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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SenseTime SenseNova 5.5: China’s first real-time multimodal AI model

AI News

SenseTime has unveiled SenseNova 5.5, an enhanced version of its LLM that includes SenseNova 5o—touted as China’s first real-time multimodal model. SenseNova 5o represents a leap forward in AI interaction, providing capabilities on par with GPT-4o’s streaming interaction features. This advancement allows users to engage with the model in a manner akin to conversing with a real person, making it particularly suitable for real-time conversation and speech recognition applications.

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How Wealth Managers Can Build Trust Through the Power of Automation and AI

Unite.AI

Building trust between wealth managers and their clients has traditionally been credited to effective communication and understanding between the two partners. Over time, wealth managers’ have become increasingly spread thin because of larger portfolios of more demanding clients. The knock-on effect is that clients can feel out of the loop due to extended response times from their wealth managers.

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IBM Rhapsody AUTOSAR extension streamlines complexity for accelerated innovation in the automotive industry

IBM Journey to AI blog

In the automotive industry, software development has become a critical component of innovation and competitiveness. As vehicles become more advanced and complex, the demand for sophisticated software continues to rise. To address this challenge, industry leaders IBM®, Siemens, SodiusWillert and BTC joined forces to develop a groundbreaking solution that simplifies and accelerates the automotive software development process.

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MARKLLM: An Open-Source Toolkit for LLM Watermarking

Unite.AI

LLM watermarking, which integrates imperceptible yet detectable signals within model outputs to identify text generated by LLMs, is vital for preventing the misuse of large language models. These watermarking techniques are mainly divided into two categories: the KGW Family and the Christ Family. The KGW Family modifies the logits produced by the LLM to create watermarked output by categorizing the vocabulary into a green list and a red list based on the preceding token.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Widescreen Wonder: Las Vegas Sphere Delivers Dazzling Displays

NVIDIA

Sphere, a new kind of entertainment medium in Las Vegas, is joining the ranks of legendary circular performance spaces such as the Roman Colosseum and Shakespeare’s Globe Theater — captivating audiences with eye-popping LED displays that cover nearly 750,000 square feet inside and outside the venue. Behind the screens, around 150 NVIDIA RTX A6000 GPUs help power stunning visuals on floor-to-ceiling, 16x16K displays across the Sphere’s interior, as well as 1.2 million programmable LED pucks on th

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Google DeepMind Introduces JEST: A New AI Training Method 13x Faster and 10X More Power Efficient

Marktechpost

Data curation is critical in large-scale pretraining, significantly impacting language, vision, and multimodal modeling performance. Well-curated datasets can achieve strong performance with less data, but current pipelines often rely on manual curation, which is costly and hard to scale. Model-based data curation, leveraging training model features to select high-quality data, offers potential improvements in scaling efficiency.

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Leya + FromCounsel Partner For GenAI Legal Knowledge Offering

Artificial Lawyer

Legal tech startup Leya and FromCounsel, the legal information provider, are combining their capabilities to provide firms with a genAI-driven knowledge platform. The partnership will.

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NVIDIA Introduces RankRAG: A Novel RAG Framework that Instruction-Tunes a Single LLM for the Dual Purposes of Top-k Context Ranking and Answer Generation in RAG

Marktechpost

Retrieval-augmented generation (RAG) has emerged as a crucial technique for enhancing large language models (LLMs) to handle specialized knowledge, provide current information, and adapt to specific domains without altering model weights. However, the current RAG pipeline faces significant challenges. LLMs struggle with processing numerous chunked contexts efficiently, often performing better with a smaller set of highly relevant contexts.

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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 AI Show Episode 104]: Top Consulting Firms Bet Big on AI, Why AI Isn’t Making Money, and Zoom CEO’s Bizarre Plan for AI Clones in Meetings

Marketing AI Institute

Join Paul Roetzer and Mike Kaput as they discuss the surge in demand for AI consultants from major firms like BCG and McKinsey, explore the growing disconnect between AI investments and economic impact, and examine Zoom CEO’s Eric Yuan's ambitious plans for AI-driven digital twins in Zoom meetings.

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This Paper Addresses the Generalization Challenge by Proposing Neural Operators for Modeling Constitutive Laws

Marktechpost

Accurately modeling magnetic hysteresis is a significant challenge in the field of AI, especially for optimizing the performance of magnetic devices such as electric machines and actuators. Traditional methods often struggle to generalize to novel magnetic fields, limiting their effectiveness in real-world applications. Addressing this challenge is crucial for developing efficient and generalizable models that can predict hysteresis behavior under varying conditions.

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GraphRAG Analysis, Part 1: How Indexing Elevates Knowledge Graph Performance in RAG

Towards AI

Last Updated on July 13, 2024 by Editorial Team Author(s): Jonathan Bennion Originally published on Towards AI. TLDR: Knowledge graphs may not significantly impact context retrieval — all knowledge graph RAG methods I examined showed similar context relevancy scores to those of FAISS (~0.74). Neo4j withOUT its own index achieves a higher answer relevancy score (0.93) but an 8% lift over FAISS may not be worth the ROI constraints.

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Enhancing Vision-Language Models: Addressing Multi-Object Hallucination and Cultural Inclusivity for Improved Visual Assistance in Diverse Contexts

Marktechpost

The research on vision-language models (VLMs) has gained significant momentum, driven by their potential to revolutionize various applications, including visual assistance for visually impaired individuals. However, current evaluations of these models often need to pay more attention to the complexities introduced by multi-object scenarios and diverse cultural contexts.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Incredible Photos Detail Sun's 'Fuzzy' Surface

Extreme Tech

Filaments, prominences, and spicules galore give the Sun's chromosphere a felted appearance in this astrophotographer's stunning snapshots.

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Microsoft’s Comprehensive Four-Stage AI Learning Journey: Empowering Businesses with Skills for Effective AI Integration and Innovation

Marktechpost

Microsoft has unveiled an extensive AI learning journey designed to deal with the diverse needs of various personas within a business, ranging from business leaders to citizen developers. This initiative is structured into four stages: Understanding AI, Preparing for AI, Using AI, and Building AI Solutions. Each stage equips organizations with the necessary skills to effectively integrate AI into their operations, enhancing productivity, innovation, and overall business transformation.

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AI security and a16z: Crawling with badness

Cassie Kozyrkov

Major security issues revealed in audit of a16z reference LLM architecture Continue reading on The Startup »

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