Sat.Mar 11, 2023 - Fri.Mar 17, 2023

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Data Science Bows Before Prompt Engineering and Few Shot Learning 

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.

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An Introduction to Large Language Models (LLMs)

Analytics Vidhya

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language. LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot […] The post An Introduction to Large Language Models (LLMs) appeared first on Analytics Vidhya.

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Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches

KDnuggets

In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.

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The best advice I never got (for a technical career)

Cassie Kozyrkov

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Medium »

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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How to Fix Blockchain’s Missing Link to Cross the Data Chasm

insideBIGDATA

In this contributed article, Toby Mills, CEO of Entopy, looks at the trend for organizations to turn to technologies such as artificial intelligence and blockchain in an attempt to find a ‘silver bullet’ to unlock the next wave of business transformation.

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Power of Visual ChatGPT : Conversations with AI and Images!

Analytics Vidhya

Introduction Recently, Large Language Models (LLMs) have made great advancements. One of the most notable breakthroughs is ChatGPT, which is designed to interact with users through conversations, maintain the context, handle follow-up questions, and correct itself. However, ChatGPT is limited in processing visual information since it’s trained with a single language modality.

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Praxisbeispiel: Data Science im Controlling

Data Science Blog

Fristgerecht bezahlen oder Skontoeffekte nutzen? Wie Sie mit Data Science Ihre Zahlungsläufe intelligent gestalten. Die Fragestellung : Die Geschäftsführung eines Unternehmens wollte den optimalen Zeitpunkt herausfinden, zu dem offene Verbindlichkeiten beglichen werden sollten. Im Fokus stand die Frage, ob Rechnungen zum vereinbarten Zahlungsdatum bezahlt werden sollten oder ob im Fall einer Skontogewährung eine vorzeitige Bezahlung lukrativer wäre, um mögliche Rabatteffekte zu nutzen.

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Get started with new role-based onboarding trainings for Databricks Lakehouse Platform

databricks

The demand for data, analytics, and AI talent continues to grow as organizations in every industry adopt new technologies to become more efficient.

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Introduction to Apache Oozie

Analytics Vidhya

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem. Users of Oozie can describe dependencies between various jobs […] The post Introduction to Apache Oozie appeared first on Analytics Vidhya.

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What Are The Downsides of AI Advancement?

KDnuggets

While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.

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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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The best advice I never got (for a technical career)

Cassie Kozyrkov

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Towards Data Science »

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Tracing the evolution of a revolutionary idea: GPT-4 and multimodal AI

Dataconomy

What is multimodal AI? It’s a question we hear often these days, isn’t it? Whether during lunch breaks, in office chat groups, or while chatting with friends in the evening, it seems that everyone is abuzz with talk of GPT-4.

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CPU vs GPU: Why GPUs are More Suited for Deep Learning?

Analytics Vidhya

Introduction I am sure you all are familiar with CPU, but have you heard the term GPU? If your answer is no, then this article is for you! With the advancement in technology, the processing systems have also advanced much, so knowing the right technology at the right time is necessary for efficient usage. So […] The post CPU vs GPU: Why GPUs are More Suited for Deep Learning?

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GPT-4: Everything You Need To Know

KDnuggets

A new model by OpenAI with improved natural language generation and understanding capabilities.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Eight Graphs that Explain Software Engineering Salaries in 2023

Flipboard

Every year, online job search firms collect data about the salaries, skills, and overall job market for tech professionals, generally focusing on software engineers The numbers from job search firms Dice and Hired have been released. These 2022 numbers have been eagerly anticipated, given the turmoil generated by a spate of tech layoffs in latter part of the year that Dice estimates at more than 140,000.

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GPT-4

Hacker News

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while worse than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.

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Revolutionizing Document Processing Through DocVQA

Analytics Vidhya

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document. Unlike other types of visual question answering, where the focus is on […] The post Revolutionizing Document Processing Through DocVQA appeared first on Analytics Vidhya.

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OpenChatKit: Open-Source ChatGPT Alternative

KDnuggets

OpenChatKit enables developers to fine-tune the model, maintain context in dialog, moderate responses, and effortlessly build their own custom chatbot applications.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Denied by AI: How Medicare Advantage plans use algorithms to cut off care for seniors in need

Flipboard

An algorithm, not a doctor, predicted a rapid recovery for Frances Walter, an 85-year-old Wisconsin woman with a shattered left shoulder and an allergy to pain medicine. In 16.6 days, it estimated, she would be ready to leave her nursing home. On the 17th day, her Medicare Advantage insurer, Security Health Plan, followed the algorithm and cut off payment for her care, concluding she was ready to return to the apartment where she lived alone.

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Two U.S. Men Charged in 2022 Hacking of DEA Portal

Hacker News

Two U.S. men have been charged with hacking into a U.S. Drug Enforcement Agency (DEA) online portal that taps into 16 different federal law enforcement databases. Both are alleged to be part of a larger criminal organization that specializes in using fake emergency data requests from compromised police and government email accounts to publicly threaten and extort their victims.

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Detect Cyberbullying Using Topic Modeling and Sentiment Analysis

Analytics Vidhya

Introduction With the rise in internet penetration across the world, followed by the rapid growth of social media companies, users are increasingly using various social media platforms to interact and engage with other like-minded individuals and also follow their favourite celebrities and influencers. With the increased use of social media, there has been a significant […] The post Detect Cyberbullying Using Topic Modeling and Sentiment Analysis appeared first on Analytics Vidhya.

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Top Machine Learning Papers to Read in 2023

KDnuggets

These curated papers would step up your machine-learning knowledge.

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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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Text Generation with LSTM in PyTorch

Flipboard

Recurrent neural network can be used for time series prediction. In which, a regression neural network is created. It can also be used as generative model, which usually is a classification neural network model. A generative model is to learn certain pattern from data, such that when it is presented with some prompt, it can […] The post Text Generation with LSTM in PyTorch appeared first on MachineLearningMastery.com.

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Will AIs Take All Our Jobs and End Human History—or Not? Well, It’s Complicated…

Hacker News

The Shock of ChatGPT Just a few months ago writing an original essay seemed like something only a human could do. But then ChatGPT burst onto the scene. And suddenly we realized that an AI could write a passable human-like essay. So now it’s natural to wonder: How far will this go? What will AIs be able to do? And how will we humans fit in? My goal here is to explore some of the science, technology—and philosophy—of what we can expect from AIs.

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Impact of Machine Learning on HR in 2023

Analytics Vidhya

Introduction Since the last decade, technology has been an integral part of all businesses. It is now the most critical factor determining the success of all business operations. New-age technologies like artificial intelligence and machine learning help drive greater efficiency and productivity and improve other business metrics. Until 2021, the machine learning market was estimated […] The post Impact of Machine Learning on HR in 2023 appeared first on Analytics Vidhya.

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Conformer-1: A robust speech recognition model trained on 650K hours of data

AssemblyAI

To do this, we introduce a number of modifications to the original Conformer architecture. For example, our Conformer-1 is built on top of the Efficient Conformer [ 3 ], a modification of the original Conformer architecture that introduces the following technical modifications: Progressive Downsampling – A progressive reduction scheme for the length of the encoded sequence, inspired by ContextNet [ 4 ].

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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How to navigate today’s conversational AI and text generative landscape

Flipboard

OpenAI’s revolutionary chatbot ChatGPT has been all over the news in recent months, triggering technology giants such as Google and Baidu to accelerate their AI roadmaps.

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How AI Could Write Our Laws

Hacker News

By Nathan E. Sanders & Bruce Schneier Nearly 90% of the multibillion-dollar federal lobbying apparatus in the United States serves corporate interests. In some cases, the objective of that money is obvious. Google pours millions into lobbying on bills related to antitrust regulation. Big energy companies expect action whenever there is a move to end drilling leases for federal lands, in exchange for the tens of millions they contribute to congressional reelection campaigns.

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Difference Between ETL and ELT Pipelines

Analytics Vidhya

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to another. The information is taken from one or more data sources, transformed into a target system-compatible format, and then loaded into the target system as part of the ETL process. […] The post Difference Between ETL and ELT Pipelines appeared first on Analytics Vidhya.

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Understanding Graph Neural Network with hands-on example| Part-2

Becoming Human

Photo by Paulius Andriekus on Unsplash Welcome back to the next part of this Blog Series on Graph Neural Networks! The following section will provide a little introduction to PyTorch Geometric , and then we’ll use this library to construct our very own Graph Neural Network! For this approach, I will make use of the MNIST-Superpixel dataset. Here is the first part of this series This portion of the series is also accessible in collab format, which can be found at this link - [link] PyTorch Geome

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.