Trending Articles

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Sequence-to-Sequence Models for Language Translation

Analytics Vidhya

Introduction In natural language processing (NLP), sequence-to-sequence (seq2seq) models have emerged as a powerful and versatile neural network architecture. These models excel at various complex tasks such as machine translation, text summarization, and dialogue systems, fundamentally transforming how machines understand and generate human language.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Journey to AI blog

Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern.

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How to use ‘Ask Photos’ feature in Google Photos?

Analytics Vidhya

Introduction The “Ask Photos” function is an interesting addition to Google Photos, which was introduced at Google I/O 2024. This cutting-edge solution transforms how consumers interact with their photo libraries by utilizing artificial intelligence, specifically powered by Gemini. “Ask Photos” claims to expedite photo retrieval by providing a smooth and user-friendly search experience.

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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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

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UAE unveils new AI model to rival big tech giants

AI News

The UAE is making big waves by launching a new open-source generative AI model. This step, taken by a government-backed research institute, is turning heads and marking the UAE as a formidable player in the global AI race. In Abu Dhabi, the Technology Innovation Institute (TII) unveiled the Falcon 2 series. As reported by Reuters , this series includes Falcon 2 11B, a text-based model, and Falcon 2 11B VLM, a vision-to-language model capable of generating text descriptions from images.

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Decoding Complexity with Transformers: Researchers from Anthropic Propose a Novel Mathematical Framework for Simplifying Transformer Models

Marktechpost

Transformers are at the forefront of modern artificial intelligence, powering systems that understand and generate human language. They form the backbone of several influential AI models, such as Gemini, Claude, Llama, GPT-4, and Codex, which have been instrumental in various technological advances. However, as these models grow in size & complexity, they often exhibit unexpected behaviors, some of which may be problematic.

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Understanding the XLNet Pre-trained Model

Analytics Vidhya

Introduction XLNet is an autoregressive pretraining method proposed in the paper “XLNet: Generalized Autoregressive Pretraining for Language Understanding ” XLNet uses an innovative approach to training. Unlike previous models like BERT, which use masked language modeling (MLM), where certain words are masked and predicted based on context, XLNet employs permutation language modeling (PLM).

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Understanding the Hype Cycle and Organisational Trajectories

Unite.AI

In today's fast-evolving technology landscape, innovation plays a pivotal role in shaping future product portfolios as industries explore new ways to streamline business operations, deliver efficiencies, and deepen customer engagement. However, with the accelerating pace of change, it's essential to separate the innovations which will disrupt or drive transformative outcomes and thus need large investment from those that need to be explored but not yet invested in.

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Google ushers in the “Gemini era” with AI advancements

AI News

Google has unveiled a series of updates to its AI offerings, including the introduction of Gemini 1.5 Flash, enhancements to Gemini 1.5 Pro, and progress on Project Astra, its vision for the future of AI assistants. Gemini 1.5 Flash is a new addition to Google’s family of models, designed to be faster and more efficient to serve at scale. While lighter-weight than the 1.5 Pro, it retains the ability for multimodal reasoning across vast amounts of information and features the breakthrough l

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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CMU Researchers Propose MOMENT: A Family of Open-Source Machine Learning Foundation Models for General-Purpose Time Series Analysis

Marktechpost

Pre-training large models on time series data faces several challenges: the lack of a comprehensive public time series repository, the complexity of diverse time series characteristics, and the infancy of experimental benchmarks for model evaluation, especially under resource-constrained and minimally supervised scenarios. Despite these hurdles, time series analysis remains vital across applications like weather forecasting, heart rate irregularity detection, and anomaly identification in softwa

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How do we use GPT 4o API for Vision, Text, Image, and more?

Analytics Vidhya

Introduction After building up so much hype around search engines, OpenAI released ChatGPT-4o, an upgraded iteration of the widely acclaimed ChatGPT-4 model that underpins its flagship product, ChatGPT. This refined version promises significant improvements in speed and performance, delivering enhanced capabilities across text, vision, and audio processing.

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Reddit Partners with OpenAI to Bring AI-Powered Features

Unite.AI

In a significant move that could reshape the user experience on one of the internet's most vibrant platforms, Reddit has announced a multi-faceted partnership with OpenAI. The deal, which comes on the heels of Reddit's successful IPO, aims to leverage OpenAI's cutting-edge language models and AI capabilities to introduce new features for Redditors and moderators alike.

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OpenAI set to unveil AI-driven challenger to Google Search

AI News

Google’s long-standing supremacy in the search engine arena may soon be challenged as OpenAI , boosted by its partnership with Microsoft, is reportedly stepping up to launch its own AI-driven search product. According to two sources familiar with the matter who spoke to Reuters , OpenAI is scheduled to unveil its AI-powered search tool on Monday.

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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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The CFO’s role in the age of generative AI

IBM Journey to AI blog

CFOs are the stewards of investment capital, orchestrating a movement with transformative technology and innovation to evolve businesses, accelerate revenue streams and drive meaningful outcomes. The current business environment has CFOs facing headwinds for decision-making in less-than-ideal conditions with rapidly shifting regulations, tedious reporting standards, ESG requirements and inflationary pressures; however, the need for growth and profit expansion remains, and as CEOs look for ways t

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XGen-MM: A Series of Large Multimodal Models (LMMS) Developed by Salesforce Al Research

Marktechpost

Salesforce AI Research has unveiled a groundbreaking development – the XGen-MM series. Building upon the success of its predecessor, the BLIP series, XGen-MM represents a leap forward in LLMs. This article delves into the intricacies of XGen-MM, exploring its architecture, capabilities, and implications for the future of AI. The Genesis of XGen-MM: XGen-MM emerges from Salesforce’s unified XGen initiative, reflecting a concerted effort to pioneer large foundation models.

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Unveiling the Intersection of Engineering and AI with Xander Steenbrugge

Analytics Vidhya

In this episode of Leading with Data, we are thrilled to welcome Xander Steenbrugge, a civil engineer turned machine learning expert. Xander’s passion for AI has driven him to explore its applications across multiple domains, from computer vision to natural language processing. With a unique background that combines civil engineering, electronics, and machine learning, Xander […] The post Unveiling the Intersection of Engineering and AI with Xander Steenbrugge appeared first on Analy

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Fire It Up: Mozilla Firefox Adds Support for AI-Powered NVIDIA RTX Video

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. Mozilla Firefox, the popular open-source browser, is the latest partner to incorporate NVIDIA RTX Video, a technology that uses AI to improve video quality on Windows PCs and workstations.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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The market size in the AI market is projected to reach $184bn in 2024

AI News

We can often get very excited about breakthroughs in Artificial Intelligence and how there will be seismic changes in the way in which it shapes the future. However, as those interested in AI know, the technology is very much already embedded in so many of our day-to-day transactions that it is already transforming the ways in which we work, rest and play.

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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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Excited about GPT-4o? Now Check out Google AI’s New Project ‘Astra’: The Multimodal Answer to the New ChatGPT

Marktechpost

On May 13, OpenAI held its massive Spring Update event, a successful event with many innovations, including GPT-4o; however, today, hours ago, Google held its very own event called Google I/O ’24. During the event, Google introduced and improved many things, including Ask Photos, expanding the AI overviews in search, bringing Gemini 1.5 pro to Workspace, AI Agents, and much more.

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NVIDIA Blackwell Platform Pushes the Boundaries of Scientific Computing

NVIDIA

Quantum computing. Drug discovery. Fusion energy. Scientific computing and physics-based simulations are poised to make giant steps across domains that benefit humanity as advances in accelerated computing and AI drive the world’s next big breakthroughs. NVIDIA unveiled at GTC in March the NVIDIA Blackwell platform , which promises generative AI on trillion-parameter large language models (LLMs) at up to 25x less cost and energy consumption than the NVIDIA Hopper architecture.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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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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TLT Launches ‘AI Navigator’ To Help Clients Adopt GenAI

Artificial Lawyer

TLT has launched ‘AI Navigator’, an online questionnaire to help clients figure out what to do about GenAI and then how to do it.

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Anthropic AI Launches a Prompt Engineering Tool that Generates Production-Ready Prompts in the Anthropic Console

Marktechpost

Generative AI (GenAI) tools have come a long way. Believe it or not, the first generative AI tools were introduced in the 1960s in a Chatbot. Still, it was only in 2014 that generative adversarial networks (GANs) were introduced, a type of Machine Learning (ML) algorithm that allowed generative AI to finally create authentic images, videos, and audio of real people.

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5 Ways to Run LLMs Locally on a Computer

Analytics Vidhya

Introduction Running Large Language Models (LLMs) locally on your computer offers a convenient and privacy-preserving solution for accessing powerful AI capabilities without relying on cloud-based services. In this guide, we explore several methods for setting up and running LLMs directly on your machine. From web-based interfaces to desktop applications, these solutions empower users to harness […] The post 5 Ways to Run LLMs Locally on a Computer appeared first on Analytics Vidhya.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Building LLM Agents Using LangChain & OpenAI API

Towards AI

Last Updated on May 13, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. When we think about large language models (LLM), we often imagine them as super-smart databases filled with internet knowledge, ready to answer any question we throw at them. But the reality is that they are clever assistants, able to understand what we tell them and help us figure things out.

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Gemma, Meet NIM: NVIDIA Teams Up With Google DeepMind to Drive Large Language Model Innovation

NVIDIA

Large language models that power generative AI are seeing intense innovation — models that handle multiple types of data such as text, image and sounds are becoming increasingly common. However, building and deploying these models remains challenging. Developers need a way to quickly experience and evaluate models to determine the best fit for their use case, and then optimize the model for performance in a way that not only is cost-effective but offers the best performance.

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Accelerate NLP inference with ONNX Runtime on AWS Graviton processors

AWS Machine Learning Blog

ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. ONNX Runtime is the runtime engine used for model inference and training with ONNX. AWS Graviton3 processors are optimized for ML workloads, including support for bfloat16, Scalable Vector Extension (SVE), and Matrix Multiplication (MMLA) instructions.

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