Sun.Jul 02, 2023

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Empowering Real-Time Insights with Website Monitoring Using Python

Analytics Vidhya

Introduction The purpose of this project is to develop a Python program that automates the process of monitoring and tracking changes across multiple websites. We aim to streamline the meticulous task of detecting and documenting modifications in web-based content by utilizing Python. This capability is invaluable for real-time news tracking, immediate product updates, and conducting […] The post Empowering Real-Time Insights with Website Monitoring Using Python appeared first on Analytics

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What is AI Hyperpersonalization? Advantages, Case Studies, & Ethical Concerns

Unite.AI

For decades, marketers have been researching the best strategies to create effective marketing campaigns to keep up with the ever-evolving consumer preferences. AI hyperpersonalization is a recent addition to a marketer’s arsenal. Traditional marketing strategies rely on broad consumer segmentation that is beneficial for reaching larger groups. But this approach is sub-optimal for understanding individual needs.

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What is the Difference Between Covariance and Correlation?

Analytics Vidhya

Introduction Comprehending and unleashing the intricate affinities among variables in the expansive realm of statistics is integral. Everything from data-driven decision-making to scientific discoveries to predictive modeling depends on our potential to disentangle the hidden connections and patterns within complex datasets. Among various statistical standards supporting this pursuit, covariance and correlation are crucial, rendering insights […] The post What is the Difference Between Cov

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Using the Natural Language Understanding Capability of ChatGPT

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Last Updated on July 3, 2023 ChatGPT as a Large Language Model, is well-known for understanding human languages. Instead of asking ChatGPT for an answer you don’t know, you can make it work on existing information while leveraging the natural language understanding (NLU) capability. In this post, you will learn How to make ChatGPT produce […] The post Using the Natural Language Understanding Capability of ChatGPT appeared first on MachineLearningMastery.com.

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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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Google AI Introduces MediaPipe Diffusion Plugins That Enable Controllable Text-To-Image Generation On-Device

Marktechpost

Diffusion models have been widely used with remarkable success in text-to-image generation in recent years, leading to significant improvements in image quality, inference performance, and the scope of our creative possibilities. However, effective generation management remains a challenge, especially under conditions that are hard to define in words.

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Salesforce Introduces XGen-7B: A New 7B LLM Trained on up to 8K Sequence Length for 1.5T Tokens

Marktechpost

With recent technological breakthroughs in artificial intelligence, Large Language Models, or LLMs in short, have become increasingly prevalent. Over the past few years, researchers have made rapid advancements in solving several complex language-related tasks by training these models on vast amounts of data in order to comprehend intricate language patterns, generate coherent responses, etc.

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Forget the Pixel's Magic Eraser, I now use Photoshop's AI instead

Flipboard

How far can you, or rather, should you push an image through editing? It’s a bit of a philosophical debate that I’ve previously dabbled in and ranted against. But the fact of the matter is AI is everywhere and is a critical part of modern computational photography.

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Chest X-ray Pneumonia Detection

Artificial Corner

a comprehensive guide to detecting Pneumonia using Pytorch library Chest X-Ray Images (Pneumonia) Datase t Pneumonia is a lung infection that causes inflammation of the alveoli, the small air sacs in the lungs. It can be caused by bacteria, viruses, or fungi. Chest X-rays are a common way to diagnose pneumonia. They can show areas of inflammation or consolidation in the lungs.

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Artificial Ignorance

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Since the dawn of the computer age scientists, philosophers, and authors have warned of the day when thinking machines would rival and eventually surpass human intelligence. In the most nightmarish.

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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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Faster Encoders with Transformers for Segmentation | LeViT U-Net

Artificial Corner

LeViT Transformer + U-Net architecture for fast and accurate semantic segmentation Tim Rüßmann on Splash LeViT-UNet[2] is a new architecture for medical image segmentation that uses a transformer encoder instead of a convolutional encoder, which allows it to learn long-range dependencies more efficiently. This makes LeViT-UNet[2] faster than traditional U-Nets while still achieving state-of-the-art segmentation performance.

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7 advanced ChatGPT prompt-writing tips you need to know

Flipboard

Let's dive a bit deeper into the arcane art of AI prompt writing. There be secrets here, for those who dare enter.

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What Happens If You Run A Transformer Model With An Optical Neural Network?

Marktechpost

The exponentially expanding scale of deep learning models is a major force in advancing the state-of-the-art and a source of growing worry over the energy consumption, speed, and, therefore, feasibility of massive-scale deep learning. Recently, researchers from Cornell talked about Transformer topologies, particularly how they are dramatically better when scaled up to billions or even trillions of parameters, leading to an exponential rise in the utilization of deep learning computing.

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First drug developed by generative AI administered to patients

Flipboard

Insilico Medicine, a biotechnology company based in Hong Kong, announced that human patients have begun receiving the drug INS018_055, an anti-fibrotic small molecule inhibitor.

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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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Why Deep Learning is Always Done on Array Data? New AI Research Introduces ‘Spatial Functa,’ Where From Data to Functa is Treated Like One

Marktechpost

Implicit neural representations (INRs) or neural fields are coordinate-based neural networks representing a field, such as a 3D scene, by mapping 3D coordinates to color and density values in 3D space. Recently, neural fields have gained a lot of traction in computer vision as a means of representing signals like pictures, 3D shapes/scenes, movies, music, medical images, and weather data.

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I’m an AI expert – I used artificial intelligence to predict the winning lottery numbers, then bought a ticket

Flipboard

AN INFLUENCER and artificial intelligence whiz has created an algorithm to predict the winning lottery numbers – and bought a ticket to check his bet.

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Open Source Scored the First Major M&A of the Generative AI Era

TheSequence

Created Using Midjourney Next Week in The Sequence: Edge 305: Our generative AI series continues with an overview of in-context, retrieval-augmented LLMs including Google’s original paper in the space. We also explore the Humanloop platform for LLMs. Edge 307: We deep dive into the famous Open Assistant project for foundation models. TheSequence is a reader-supported publication.

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Make Money With AI and ChatGPT: How To Earn $1,000 a Month

Flipboard

You may have heard about Jackson Greathouse Fall, who asked OpenAI's ChatGPT to give him instructions to turn $100 into "as much money as possible.

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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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This AI Tool Explains How AI ‘Sees’ Images And Why It Might Mistake An Astronaut For A Shovel

Marktechpost

It is widely recognized that artificial intelligence (AI) has made significant strides in recent years, leading to remarkable achievements and breakthrough outcomes. However, it is not true that AI can attain equally impressive results across all tasks. For instance, while AI can surpass human performance in certain visual tasks, such as facial recognition, it can also exhibit perplexing errors in image processing and classification, thereby highlighting the challenging nature of the task at han

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We had AI write the first five chapters The Winds of Winter

Flipboard

We've all heard an awful lot about generative AI over the past several months. ChatGPT can write walls of comprehensive text with a simple prompt. Mid.

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Transforming AI Interaction: LLaVAR Outperforms in Visual and Text-Based Comprehension, Marking a New Era in Multimodal Instruction-Following Models

Marktechpost

By combining several activities into one instruction, instruction tuning enhances generalization to new tasks. Such capacity to respond to open-ended questions has contributed to the recent chatbot explosion since ChatGPT 2. Visual encoders like CLIP-ViT have recently been added to conversation agents as part of visual instruction-tuned models, allowing for human-agent interaction based on pictures.

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Google Launches Machine Unlearning Competition to Enhance Data Privacy Rights

Flipboard

In a bold move to safeguard data privacy rights, Google has announced an upcoming machine “unlearning” competition. The initiative aims to develop algorithms that selectively erase sensitive data from AI systems, ensuring compliance with global data regulation standards. This groundbreaking contest, open to all participants, is set to run from mid-July to mid-September.

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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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Unveiling the Practical Guide to Mastering the BeautifulSoup Library

Artificial Corner

{This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of BeautifulSoup} Image by Author ‍Behold the wondrous marvel known as BeautifulSoup, a mighty Python library renowned for its prowess in the realms of web scraping and data extraction from HTML and XML documents. This compendium of wisdom shall illuminate your path, unraveling the fundamental mysteries of BeautifulSoup, its boundless applications within the realm of machine lea

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AI Will Help Crypto Get To The Next Level

Flipboard

Even as blockchain and cryptoasset firms find themselves facing a barrage of legal and regulatory actions, and a much-discussed crypto winter, they are also facing down the ever-present conversation around AI.

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The Future of Storytelling: Creating Compelling Photo-to-Audio Narratives with free AI

Artificial Corner

Use Python, Streamlit and Hugging Face models with free API token to create Audio Stories from your pictures.

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AI Technology Drastically Cuts Treatment Time for Cancer Radiotherapy

Flipboard

Artificial intelligence (AI) technology has emerged as a game-changer in the field of cancer radiotherapy. With the ability to significantly reduce the waiting time for patients, this cutting-edge technology is set to be offered at cost price to all NHS trusts in England.

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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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Researchers From Binghamton University Introduce A Privacy-Enhancing Anonymization System (My Face, My Choice) For Everyone To Have Control Over Their Faces In Social Photo Sharing Networks

Marktechpost

Anonymization is a critical problem in the context of face recognition and identification algorithms. With the increasing productization of these technologies, ethical concerns have emerged regarding the privacy and security of individuals. The ability to recognize and identify individuals through their facial features raises questions about consent, control over personal data, and potential misuse.

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I asked ChatGPT the same question in Russian and Ukrainian – and the results worried me

Flipboard

ChatGPT remains a hot topic for many people, with the potential of what it’s capable of achieving becoming ever more evident.

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CMU Researchers Introduce FROMAGe: An AI Model That Efficiently Bootstraps Frozen Large Language Models (LLMs) To Generate Free-Form Text Interleaved With Images

Marktechpost

Enormous large language models (LLMs) can exhibit appealing skills like producing human-like discourse and responding to complicated inquiries because they have been trained at scale on large text corpora. While undoubtedly amazing, most cutting-edge LLMs are trained on text-only data downloaded from the Internet. They frequently cannot absorb concepts based on the actual world because they need to be exposed to rich visual clues.