Analytics Vidhya

JULY 3, 2024

Introduction The rise of Retrieval-Augmented Generation (RAG) and Knowledge Graphs has revolutionized how we interact with complex data sets by providing a structured, interconnected representation of information. Knowledge Graphs, such as those used in Neo4j, facilitate the querying and visualization of relationships within data. However, translating natural language into structured query languages like Cypher remains […] The post Finetuning Phi-Medium to Generate Cypher Query from Text a

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AI News

JULY 3, 2024

Following Apple’s partnership announcement with OpenAI at WWDC last month, a new report reveals that the tech giant will secure an “observer role” on OpenAI’s board of directors. The new arrangement – set to take effect later this year – will see Apple’s long-time marketing chief turned Apple Fellow, Phil Schiller, representing the company in this capacity.

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Analytics Vidhya

JULY 3, 2024

Introduction When working with databases, one of the most important things to manage is who can do what within your database. Structured Query Language (SQL) has a function to help you with this. The SQL GRANT command lets you assign specific permissions to different users. This allows you to control how they interact with the […] The post What is Grant Command in SQL?

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AI News

JULY 3, 2024

Discover how AI is revolutionising digital marketing with success stories and key strategies. Learn about personalisation, predictive analytics, content creation, and more. The rapid evolution of AI is revolutionising digital marketing, offering unprecedented opportunities for personalisation, efficiency, and customer engagement. By leveraging advanced algorithms and machine learning techniques, AI is transforming how marketers interact with their audiences, predict customer behaviour, and optim

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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

Generative AI

Analytics Vidhya

JULY 3, 2024

Introduction Semantic segmentation, categorizing images pixel-by-pixel into specified groups, is a crucial problem in computer vision. Fully Convolutional Networks (FCNs) were first introduced in a seminal publication by Trevor Darrell, Evan Shelhamer, and Jonathan Long in 2015. This ground-breaking method completely changed the field by providing end-to-end training for semantic segmentation tasks, doing away with […] The post Role of Fully Convolutional Networks in Semantic Segmentation

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Analytics Vidhya

JULY 3, 2024

Introduction Keys are an important part of SQL, and the primary, foreign, and candidate keys hold a significant value. The alternate key holds are crucial, yet we often overlook their importance. They are used to design our database, Ensure the integrity of our data, and create an efficient way to retrieve records. Intriguing right? Further in […] The post What are the SQL Alternate Keys?

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Unite.AI

JULY 3, 2024

Brazil's National Data Protection Authority (ANPD) has halted Meta's plans to use Brazilian user data for artificial intelligence training. This move comes in response to Meta's updated privacy policy , which would have allowed the company to utilize public posts, photos, and captions from its platforms for AI development. The decision highlights growing global concerns about the use of personal data in AI training and sets a precedent for how countries may regulate tech giants' data practices i

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Analytics Vidhya

JULY 3, 2024

Introduction In the era of global communication, developing effective multilingual AI systems has become increasingly important. Robust multilingual embedding models are highly beneficial for Retrieval Augmented Generation (RAG) systems, which leverage the strength of big language models with external knowledge retrieval. This guide will help you choose the ideal multilingual embedding model for your RAG […] The post How to Find the Best Multilingual Embedding Model for Your RAG?

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AI News

JULY 3, 2024

Google is currently grappling with a major dilemma: finding a way to maintain its impressive progress in AI technology while also staying true to its goal of minimising carbon emissions. In its 2024 Environmental Report , Google discloses a concerning trend: a staggering 50% surge in emissions over the past five years. This surge can be attributed mainly to the heightened energy requirements of its AI-powered data centres.

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Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

Automation

Explosion

JULY 3, 2024

Large language models have significantly transformed the field of artificial intelligence. The fundamental innovation behind this change is surprisingly straightforward: make the models a lot bigger. With each new iteration, the capabilities of these models expand, prompting a critical question: Are we moving toward a black box era where AI is controlled by a few tech monopolies?

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Marktechpost

JULY 3, 2024

In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications. Let’s explore 15 detailed examples of how companies harness LLMs in real-world scenarios. Netflix: Evolving Big Data Job Remediation Netflix has shifted from traditional rule-based classifiers to machine learning-powered auto-remediation systems for handlin

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Towards AI

JULY 3, 2024

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 When deciding who is best at a certain field, the debate can sometimes get messy with no conclusive answer. Most of these debates may go on and on, and they touch on a wide range of sectors, but they mostly involve sports, entertainment, and maybe politics.

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Marktechpost

JULY 3, 2024

Synthetic data generation has become crucial in training large language models (LLMs). This field focuses on creating artificial data sets that mimic real-world data, allowing researchers to train and evaluate machine learning models effectively without compromising privacy or requiring extensive data collection efforts. The methodology behind synthetic data creation aims to provide diverse and scalable data sets to enhance the robustness and performance of LLMs in various applications.

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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

Generative AI

AWS Machine Learning Blog

JULY 3, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation, eliminating the need for custom data source integrations and data flow management.

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Marktechpost

JULY 3, 2024

Regarding enterprise-level functionality, many current LLM suppliers still need to catch up. One major issue is the need for a reliable method for regulating LLM expenditures on a per-user, per-project, per-environment, per-feature basis, etc. A granular method of monitoring LLMs has yet to be created. However, technical resources should be better spent releasing technologies that contribute to the company’s success rather than creating an LLM wrapper internally.

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AWS Machine Learning Blog

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Today, LLMs are being used in real settings by companies, including the heavily-regulated healthcare and life sciences industry (HCLS).

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Marktechpost

JULY 3, 2024

MultiOn AI has recently announced the release of its latest innovation, the Retrieve API, an autonomous web information retrieval API designed to revolutionize how developers and businesses extract and utilize web data. This groundbreaking API complements the previously launched Agent API, offering a comprehensive solution for autonomous web browsing and data extraction.

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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, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

Generative AI

Artificial Lawyer

JULY 3, 2024

A new study of professionals across the world by Thomson Reuters has found that fears over genAI’s impact still persist, with 77% of respondents saying.

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Towards AI

JULY 3, 2024

Last Updated on July 3, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. Adapting Diverse Models to Transform Transactional Data for Predictive AccuracyPhoto by Elena Mozhvilo on Unsplash Time series forecasting is fundamental to predictive modeling, drawing significant interest from data scientists. Its applications range from supply chain demand prediction to financial market forecasting.

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Extreme Tech

JULY 3, 2024

The neuroprosthetic leg worked similarly to a natural leg for those who'd undergone a novel form of amputation.

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NVIDIA

JULY 3, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users. Generative models have completely transformed the AI landscape — headlined by popular apps such as ChatGPT and Stable Diffusion. Paving the way for this boom were foundational AI models and generative adversarial networks (GANs), which sparked a leap in productivity and creativity.

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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

Generative AI

Extreme Tech

JULY 3, 2024

AMD might also still use TSMC's 3nm process for some Zen 5 CPUs.

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SAS Software

JULY 3, 2024

This summer, the buzzword on everyone's lips is generative AI. From tech conferences and industry panels to mainstream media and casual conversations, AI has taken center stage, driving innovation and sparking debates about its impact on our future. One of the most exciting developments in AI is the growing impact [.] The post WIA spotlight: Women's voices in AI appeared first on SAS Blogs.

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Extreme Tech

JULY 3, 2024

The ex-police officer has been leaking private data and planting explosive 'news' from Moscow for at least eight years. Now, with the 2024 US election coming up, the cat is out of the bag.

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Towards AI

JULY 3, 2024

Last Updated on July 4, 2024 by Editorial Team Author(s): Jan Werth Originally published on Towards AI. Photo by Victor Freitas on Unsplash Table of content Introduction Prerequisite Eye Detection via Cascaders– Cascaders– Scalefactor and Min_Neighbour Find Matching eye-pairs– Matching eyes step by step with code– Less than three eyes– Draw facebox from eyebox Conclusions Update Dear reader, I wrote this article at the beginning of the COVID-19 pandemic in 2022.

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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.

Extreme Tech

JULY 3, 2024

The Frankenstein GPU sports 26Gb/s memory lifted from an RTX 4080 Super.

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Towards AI

JULY 3, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, video processing and generation, and image recognition.

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Extreme Tech

JULY 3, 2024

Samsung's clamshell-style flip phone is getting an upgrade.

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