Wed.Mar 27, 2024

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Working with Window Functions in PySpark

Analytics Vidhya

Introduction Learning about Window Functions in PySpark can be challenging but worth the effort. Window Functions are a powerful tool for analyzing data and can help you gain insights you may not have seen otherwise. By understanding how to use Window Functions in Spark; you can take your data analysis skills to the next level […] The post Working with Window Functions in PySpark appeared first on Analytics Vidhya.

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AI vs Humans: Stay Relevant or Face the Music

Unite.AI

Artificial Intelligence (AI) has emerged as a transformative force, shaping industries and challenging traditional notions of work and human relevance. AI has come a long way since its beginnings in the mid-20th century. Back then, people dreamed of what it could do, but now, with lots of data and powerful computers, AI has become even more advanced.

AI 278
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Unlocking the Future: Dr. Anand Rao on AI Evolution, Joyful Pursuits, and Career Wisdom

Analytics Vidhya

Welcome to the Leading with Data session featuring Dr. Anand Rao, a seasoned leader bridging ancient wisdom with modern AI. With three decades of experience across continents and sectors, Dr. Rao integrates Advaita philosophy into his leadership, fostering diverse perspectives for positive change. From pioneering AI applications in aerospace to shaping national AI strategies, his […] The post Unlocking the Future: Dr.

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Hyperscale vs. colocation: Go big or go rent?

IBM Journey to AI blog

Here’s the situation: You’re the CIO or similarly empowered representative of an organization. Different voices within your business are calling attention to the awesome scalability and power of hyperscale computing, which you’ve also noticed with increasing interest. Now the word comes down from on high that you’ve been tasked with designing and implementing your company’s hyperscale computing solution—whatever that should be.

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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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Improve Productivity with These 7 Google Gemini Prompts

Analytics Vidhya

Introduction In today’s world of digital assistance, Google Gemini stands out as a game-changer, shaking up productivity tools with its many capabilities. As a powerful language model, Gemini goes beyond the usual, providing a flexible set of tools to make tasks easier across different areas, from handling emails to crunching complex data. It fits seamlessly […] The post Improve Productivity with These 7 Google Gemini Prompts appeared first on Analytics Vidhya.

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Microsoft’s AllHands Aims to Transform Feedback Analysis

Analytics Vidhya

Introduction Today, user feedback is invaluable for developers and companies aiming to refine their products and services. The ability to sift through vast amounts of user-generated feedback efficiently and effectively is crucial for driving innovation and meeting user needs. This challenge has led to the development of AllHands, an innovative framework designed by a collaborative […] The post Microsoft’s AllHands Aims to Transform Feedback Analysis appeared first on Analytics Vidhya

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The “hidden figures” of AI: Women shaping a new era of ethical innovation

IBM Journey to AI blog

The end of March marks the conclusion of Women’s History Month. And despite the increased focus on women’s issues and contributions to society throughout the month, the conversation would be incomplete without recognizing how indispensable the success of women—past and present—has been in the tech industry. In particular, women are leading the way every day toward a new era of unprecedented global innovation in the field of generative AI.

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MIT Breakthrough: 30x Faster AI Image Generation using Distribution Matching Distillation

Analytics Vidhya

MIT researchers have made a significant breakthrough in AI image generation. They’ve developed a technique called “distribution matching distillation” (DMD) that can make popular AI image generators like DALL-E 3 and Stable Diffusion run up to 30 times faster. Here’s How it Works Here’s the impressive efficiency of DMD: It creates compact versions of these […] The post MIT Breakthrough: 30x Faster AI Image Generation using Distribution Matching Distillation ap

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IPPR: 8M UK careers at risk of ‘job apocalypse’ from AI

AI News

A report by the Institute for Public Policy Research (IPPR) sheds light on the potential impact of AI on the UK job market. The study warns of an imminent ‘job apocalypse’, threatening to engulf over eight million careers across the nation, unless swift government intervention is enacted. The report identifies two key stages of generative AI adoption.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Data Modeling Demystified: Crafting Efficient Databases for Business Insights

Analytics Vidhya

Introduction This article will introduce the concept of data modeling, a crucial process that outlines how data is stored, organized, and accessed within a database or data system. It involves converting real-world business needs into a logical and structured format that can be realized in a database or data warehouse. We will explore how data […] The post Data Modeling Demystified: Crafting Efficient Databases for Business Insights appeared first on Analytics Vidhya.

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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Journey to AI blog

The rising interest in the calculation and disclosure of Scope 3 GHG emissions has thrown the spotlight on emissions calculation methods. One of the more common Scope 3 calculation methodologies that organizations use is the spend-based method, which can be time-consuming and resource intensive to implement. This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to

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WWDC 2024 Dates Announced: Here’s What to Expect!

Analytics Vidhya

Calling all Apple fans and developers! The highly anticipated World Wide Developer Conference (WWDC) returns in June 2024, promising a week packed with exciting announcements. This year’s WWDC will take place primarily online, with June 10th reserved for a limited in-person keynote event. Developers and fans can apply to attend the keynote through the Apple […] The post WWDC 2024 Dates Announced: Here’s What to Expect!

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Turning climate risks into business opportunities 

IBM Journey to AI blog

Climate change causes extreme weather events across the world that endanger people’s lives and disrupt the businesses on which they depend. In Africa, for example, recurring droughts, floods and cyclones due to climate change might cause crop failures and food insecurity. As businesses make plans to mitigate climate risks such as extreme weather events, they have an opportunity to innovate with new business models and demonstrate leadership by implementing more sustainable practices.

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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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Kafka Stream Processing Guide 2024

Analytics Vidhya

Introduction Starting with the fundamentals: What is a data stream, also referred to as an event stream or streaming data? At its heart, a data stream is a conceptual framework representing a dataset that is perpetually open-ended and expanding. Its unbounded nature comes from the constant influx of new data over time. This approach is […] The post Kafka Stream Processing Guide 2024 appeared first on Analytics Vidhya.

Big Data 294
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How to Identify Deepfake Videos Like a Fact-Checker

Unite.AI

Deepfakes are synthetic media where an individual replaces a person’s likeness with someone else’s. They’re becoming more common online, often spreading misinformation around the world. While some may seem harmless, others can have malicious intent, making it important for individuals to discern the truth from digitally crafted false content. Unfortunately, not everyone can access state-of-the-art software to identify deepfake videos.

Robotics 147
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Guide on 3D Medical Image Segmentation with Monai & UNET

Analytics Vidhya

Introduction 3D image segmentation involves partitioning volumetric data into distinct regions to extract meaningful information such as identifying organs, tumors, etc. With applications ranging from medical diagnosis to industrial inspection and robotics, 3D segmentation plays a pivotal role in understanding complex three-dimensional structures and objects.

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How AI Transforms Cloud Structures to Enable Data-Driven Decision-Making

Aiiot Talk

AI (artificial intelligence) is changing cloud structures for better data-driven decision-making in business. This transformation has enabled companies to analyze vast data sets efficiently and automate complex processes. In business, you need to learn how AI is changing the game for cloud computing and data analysis, as it plays a critical role in staying ahead in an increasingly data-driven world.

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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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Top 5 FREE Generative AI Courses by NVIDIA

Analytics Vidhya

NVIDIA, a pivotal force in the AI revolution, has significantly simplified the process of learning Artificial Intelligence through its newest course offerings. Below, you’ll find five free courses that offer exceptional value—rest assured, their benefits are as substantial as gold. These selections are particularly suited for beginners and represent some of the best starting points […] The post Top 5 FREE Generative AI Courses by NVIDIA appeared first on Analytics Vidhya.

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Announcing DBRX: A new standard for efficient open source LLMs

databricks

Databricks’ mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their.

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Introducing Moondream2: A Tiny Vision-Language Model

Analytics Vidhya

Vision Language models are the models that can process and understand both visual and language(textual input) data simultaneously. These models combine techniques from Computer Vision and Natural Language Processing to understand and generate text based on the image content and language instruction. There are many large vision language models available such as OpenAI’s GPT-4v, Salesforce’s […] The post Introducing Moondream2: A Tiny Vision-Language Model appeared first on Analytics Vidhya.

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Unlocking Peak Generations: TensorRT Accelerates AI on RTX PCs and Workstations

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. As generative AI advances and becomes widespread across industries, the importance of running generative AI applications on local PCs and workstations grows.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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30+ ChatGPT Prompts You Can Use Get the Dream Job in 2024

Analytics Vidhya

Introduction Hey there! Looking to nail that dream job in 2024? Well, you’re in the right place! Welcome to our blog, where we spill the beans on harnessing the power of ChatGPT for turbocharged job hunting. Say goodbye to bland resumes and nerve-wracking interviews because we’ve got your back. From crafting standout resumes to acing […] The post 30+ ChatGPT Prompts You Can Use Get the Dream Job in 2024 appeared first on Analytics Vidhya.

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This AI Paper from Microsoft Present SiMBA: A Simplified Mamba-based Architecture for Vision and Multivariate Time Series

Marktechpost

Language models’ evolution is shifting from Large Language Models (LLMs) to the era of Small Language Models (SLMs). At the core of both LLMs and SLMs lies the power of transformers, which are the building blocks of LLMs and SLMs. While transformers have proven their outstanding performance across domains through their attention networks, multiple issues exist in attention networks, including low inductive bias and quadratic complexity concerning input sequence length.

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Mikhail Parakhin Steps Down from Bing Search & Microsoft Advertising

Analytics Vidhya

Microsoft is undergoing a leadership change with a strong focus on artificial intelligence (AI). Mustafa Suleyman, co-founder of DeepMind (acquired by Google), has been appointed CEO of Microsoft AI, a move CEO Satya Nadella views as critical for advancing the company’s AI initiatives. These changes extend beyond just new leadership. Mikhail Parakhin, who has led […] The post Mikhail Parakhin Steps Down from Bing Search & Microsoft Advertising appeared first on Analytics Vidhya.

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Researchers at Microsoft Propose AllHands: A Novel Machine Learning Framework Designed for Large-Scale Feedback Analysis Through a Natural Language Interface

Marktechpost

In today’s digital age, software developers and product teams are inundated with user feedback from various channels – app reviews, forum posts, social media comments, and more. This wealth of verbatim feedback holds the key to understanding user experiences, identifying pain points, and uncovering opportunities for improvement. However, sifting through thousands of text-based reviews across multiple platforms and languages can be overwhelming and time-consuming, often leaving valuable ins

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Intel: 40 TOPS Is the New Baseline for an NPU

Extreme Tech

At the same event, Intel and Microsoft defined 'AI PC' more sharply, and Intel added that elements of Copilot will run locally.

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TOXCL: A Unified Artificial Intelligence Framework for the Detection and Explanation of Implicit Toxic Speech

Marktechpost

On social media, toxic speech can spread like wildfire, targeting individuals and marginalized groups. While explicit hate is relatively easy to flag, implicit toxicity – which relies on stereotypes and coded language rather than overt slurs – poses a trickier challenge. How do we train AI systems to not only detect this veiled toxicity but also explain why it’s harmful?

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Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization

AWS Machine Learning Blog

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock , that is able to understand prompts describing multiple objects in various contexts and captures these relevant details in the images it generates. It is available in US East (N. Virginia) and US West (Oregon) AWS Regions and can perform advanced image editing tasks such as smart cropping, in-painting, and background changes.