March, 2024

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Transformer models: A guide to understanding different transformer architectures and their uses

Data Science Dojo

Natural language processing (NLP) and large language models (LLMs) have been revolutionized with the introduction of transformer models. These refer to a type of neural network architecture that excels at tasks involving sequences. While we have talked about the details of a typical transformer architecture, in this blog we will explore the different types of the models.

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The Data Disconnect: A Key Challenge for Machine Learning Deployment

insideBIGDATA

This article is excerpted from the book, "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment," by Eric Siegel, Ph.D., with permission from the publisher, MIT Press. It is a product of the author’s work while he held a one-year position as the Bodily Bicentennial Professor in Analytics at the UVA Darden School of Business.

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Google Unveils VLOGGER: An AI That Can Create Life-like Videos from a Single Picture

Analytics Vidhya

Google researchers have pioneered a revolutionary AI named VLOGGER, capable of transforming still images into dynamic, lifelike videos. This innovation marks a significant leap in artificial intelligence, with profound implications for various industries. While VLOGGER promises exciting possibilities, it also sparks discussions around deepfakes and misinformation.

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A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

KDnuggets

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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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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The Da Vinci Code of Data: Mastering The Data Science Mind Map

Machine Learning Mastery

Data Science embodies a delicate balance between the art of visual storytelling, the precision of statistical analysis, and the foundational bedrock of data preparation, transformation, and analysis. The intersection of these domains is where true data alchemy happens – transforming and interpreting data to tell compelling stories that drive decision-making and knowledge discovery.

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Heard on the Street – 3/14/2024

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 488
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Could AI Replace Software Engineers? Meet Devin, the First AI-Driven Engineer

Analytics Vidhya

Introduction Software development is on the brink of a transformative shift as artificial intelligence (AI) continues to push the boundaries of what was once deemed impossible. Enter Devin AI, an AI software engineer developed by the innovative minds at Cognition. This groundbreaking creation aims to revolutionize how we approach software development, streamlining the process and […] The post Could AI Replace Software Engineers?

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Top 6 YouTube Series for Data Science Beginners

KDnuggets

Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.

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Lilac Joins Databricks to Simplify Unstructured Data Evaluation for Generative AI

databricks

Today, we are thrilled to announce that Lilac is joining Databricks. Lilac is a scalable, user-friendly tool for data scientists to search, cluster.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Avoiding The Swinging Pendulum In The Great AI Debate

Adrian Bridgwater for Forbes

we need a lot of technology to move in a lot of different directions for AI to grow the right way & for us to avoid not just the pendulum and to avoid the pit beneath it.

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Understanding Human Memory Through AI: Insights from ChatGPT’s Predictive Capability

Data Science Dojo

Have you ever read a sentence in a book that caught you off guard with its meaning? Maybe it started in one direction and then, suddenly, the meaning changed, making you stumble and re-read it. These are known as garden-path sentences, and they are at the heart of a fascinating study on human cognition—a study that also sheds light on the capabilities of AI, specifically the language model ChatGPT.

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Hewlett Packard Enterprise Debuts End-to-End AI-Native Portfolio for Generative AI

insideBIGDATA

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

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Top 10 Free AI Tools for Video Editing

Analytics Vidhya

Video content has become essential to marketing, entertainment, and communication initiatives in the current digital era. Having top-notch video editing tools is essential whether you’re making material for YouTube, social networking, or business presentations. AI video editors can enhance their film, add effects, boost audio quality, and craft captivating narratives that draw viewers in.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Top 8 AI Search Engine That You Should Replace With Google

KDnuggets

GenAI has enabled new search engine platforms with unique features and advantages, challenging Google's dominance.

AI 393
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Delivering the Next Generation of Consumer Experiences: Databricks and Adobe Announce Strategic Partnership

databricks

By Steve Sobel - Global Industry Leader; Communications, Media & Entertainment Today Databricks and Adobe are excited to announce a strategic partnership focused.

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The Ever Changing Face Of Software Modernization

Adrian Bridgwater for Forbes

Software is modernizing to adopt cloud-native infrastructures being used to power always-on applications for enterprise use and indeed for consumer use and even gaming.

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Traditional vs Vector databases: Your guide to make the right choice

Data Science Dojo

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. This blog delves into a detailed comparison between the two data management techniques. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information. Hence, databases are important for strategic data handling and enhanced operational efficiency.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Embracing the Agile Data Platform: A Key to Business Survival Today

insideBIGDATA

In this contributed article, Philip Miller, a Customer Success Manager for Progress, discusses how embracing an agile data platform, which enables an organization to navigate the complex volume of data effectively, is crucial for survival in today’s data-driven business landscape. In today’s global marketplace, moving from a rigid data management to a dynamic platform allows organizations to extract meaningful insights quickly, which in turn fosters innovation and resilience.

Big Data 458
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Google I/O 2024 Dates Announced; Here’s What to Expect

Analytics Vidhya

Google enthusiasts and techies are abuzz with excitement as Google I/O 2024 draws near. This annual tech event, announced to begin on May 14, promises a plethora of revelations and updates across Google’s vast ecosystem. From artificial intelligence (AI) breakthroughs to potential hardware unveilings, here’s a sneak peek at what’s in store for attendees and […] The post Google I/O 2024 Dates Announced; Here’s What to Expect appeared first on Analytics Vidhya.

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10 GitHub Repositories to Master MLOps

KDnuggets

Begin your MLOps journey with these comprehensive free resources available on GitHub.

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Databricks invests in Mistral AI and integrates Mistral AI’s models into the Databricks Data Intelligence Platform

databricks

Sharing a belief that open source solutions will foster innovation and transparency in generative AI development, Databricks has announced a partnership and participation.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Pegasystems CEO Calls For Deeper View Of Low-Code

Adrian Bridgwater for Forbes

If the low-code software industry is going to talk about digital transformation, then it should at least point to the what, when and why of those elements of work that are being transformed.

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Field Boundaries Detection and Land Cover Classification And How EOSDA Does It

Data Science Dojo

In a rapidly changing world, where anthropogenic activities continuously sculpt and modify our planet’s surface, understanding the complex dynamics of land cover is becoming increasingly critical. Land cover classification (LCC), an exciting and increasingly vital field of study, offers a powerful lens to observe these changes, interpret their implications, and chart potential solutions for a sustainable future.

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Heard on the Street – 3/21/2024

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 448
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The Fastest AI Model by Anthropic – Claude 3 Haiku

Analytics Vidhya

Introduction Imagine a world where artificial intelligence is not just about complex algorithms and high-tech jargon but about speed, efficiency, and accessibility. Welcome to that world, brought to you by the latest sensation in AI—Claude 3 Haiku. This new member of Anthropic’s family is not just another AI model; it’s a symbol of our relentless […] The post The Fastest AI Model by Anthropic – Claude 3 Haiku appeared first on Analytics Vidhya.

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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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A Free Data Science Learning Roadmap: For All Levels with IBM

KDnuggets

Learn data science according to your expertise with these 4 different learning roadmaps.

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Announcing the General Availability of Databricks Feature Serving

databricks

Today, we are excited to announce the general availability of Feature Serving. Features play a pivotal role in AI Applications, typically requiring considerable.

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Harmonizing Data: A Symphony of Segmenting, Concatenating, Pivoting, and Merging

Machine Learning Mastery

In the world of data science, where raw information swirls in a cacophony of numbers and variables, lies the art of harmonizing data. Like a maestro conducting a symphony, the skilled data scientist orchestrates the disparate elements of datasets, weaving them together into a harmonious composition of insights. Welcome to a journey where data transcends […] The post Harmonizing Data: A Symphony of Segmenting, Concatenating, Pivoting, and Merging appeared first on MachineLearningMastery.com

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RAG and finetuning: A comprehensive guide to understanding the two approaches

Data Science Dojo

This is the first blog in the series of RAG and finetuning, focusing on providing a better understanding of the two approaches. RAG and finetuning: You’ve likely seen these terms tossed around on social media, hailed as the next big leap in artificial intelligence. But what do they really mean, and why are they so crucial in the evolution of AI?

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!