April, 2024

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Heard on the Street – 4/18/2024

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 472
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Llama 3: A new milestone for Meta in the world of NLP and LLMs

Data Science Dojo

April 2024 is marked by Meta releasing Llama 3, the newest member of the Llama family. This latest large language model (LLM) is a powerful tool for natural language processing (NLP). Since Llama 2’s launch last year, multiple LLMs have been released into the market including OpenAI’s GPT-4 and Anthropic’s Claude 3. Hence, the LLM market has become highly competitive and is rapidly advancing.

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5 Free Courses to Master Math for Data Science

KDnuggets

Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

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Mistral’s New Model Crushes Benchmarks in 4+ Languages

Analytics Vidhya

Mixtral 8x22B by Mistral AI Crushes Benchmarks in 4+ Languages The post Mistral’s New Model Crushes Benchmarks in 4+ Languages appeared first on Analytics Vidhya.

Analytics 374
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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Machine Learning Research at Apple

The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.

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Building Enterprise GenAI Apps with Meta Llama 3 on Databricks

databricks

We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama.

ML 358

More Trending

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Vision Language Models: Introducing the new tiny VLM Moondream 2

Data Science Dojo

While language models in generative AI focus on textual data, vision language models (VLMs) bridge the gap between textual and visual data. Before we explore Moondream 2, let’s understand VLMs better. Understanding vision language models VLMs combine computer vision (CV) and natural language processing (NLP), enabling them to understand and connect visual information with textual data.

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7 Python Libraries Every Data Engineer Should Know

KDnuggets

Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.

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Top 40 Python Libraries for AI, ML and Data Science

Analytics Vidhya

Introduction Python is the magic key to building adaptable machines! Known for its beginner-friendliness, you can dive into AI without complex code. Python’s superpower? A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.

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What Is Cloud Provisioning?

Adrian Bridgwater for Forbes

Cloud provisioning has been a chore at times, but in our increasingly automated infrastructure future, cloud provisioning will have been provisioned and provided for.

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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 the General Availability of Databricks Asset Bundles

databricks

We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.

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Cloud Migration Alone Won’t Solve Data Quality. Here’s Why CDOs Need a More Holistic Approach

insideBIGDATA

In this contributed article, Emmet Townsend, VP of Engineering at Inrupt, discusses how cloud migration is just one step to achieving comprehensive data quality programs, not the entire strategy.

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Revolutionize Your Online Business: How AI in E-Commerce Transforms the Industry

Data Science Dojo

AI in E-commerce helps businesses understand consumer preferences and profiles to tailor their offerings and marketing strategies effectively, thereby enhancing the shopping experience and increasing customer satisfaction and loyalty. By analyzing consumer behavior, preferences, and profiles, businesses can personalize their products and services, optimize their marketing campaigns, and improve overall operations, leading to increased sales and a competitive advantage.

AI 397
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Utilizing Pandas AI for Data Analysis

KDnuggets

Bring the latest AI implementation to Pandas to improve your data workflow.

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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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Meta AI: Your New Intelligent Assistant Powered by Llama 3

Analytics Vidhya

Meta introduces Meta AI, powered by the cutting-edge Llama 3, revolutionizing assistance across its platforms. With seamless integration and enhanced features, Meta AI aims to redefine user experiences. Let’s explore the features and applications of Meta’s AI assistant. Also Read: Meta Releases Much-Awaited Llama 3 Model Enhanced Assistance Everywhere Meta AI, leveraging Meta Llama 3, […] The post Meta AI: Your New Intelligent Assistant Powered by Llama 3 appeared first on Anal

AI 353
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How Much Is That Kubernetes In The Workflow?

Adrian Bridgwater for Forbes

A joint CloudBolt & StormForge solution enables FinOps cloud cost practitioners to harness container cost visibility and optimization to maximize cloud ROI.

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Bringing MegaBlocks to Databricks

databricks

At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX.

AI 347
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Artificial Intelligence Means Smaller Teams Doing More with Less Makes the Small Autonomous Teams Structure Even More Important 

insideBIGDATA

In this contributed article, Brady Brim-DeForest, CEO of Formula.Monks, discusses how the more that we incorporate AI technology into white collar workflows in large organizations, the more that it becomes important to lean into the work structures that make humans function at their best.

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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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Elevate your content strategy: 8 game-changing AI tools of 2024

Data Science Dojo

Artificial intelligence (AI) is a dominant tool in today’s digital world. It has revolutionized industries in various aspects, and content strategy is no different. Since the modern business world is in constant need of engaging and creative content, it can become a time-consuming and redundant task. However, AI for content creation has altered the way we interact, process, and understand content these days.

AI 317
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5 Data Analyst Projects to Land a Job in 2024

KDnuggets

Here’s how to stand out from the competition, impress employers, and get a job in data analytics.

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Language Translation Using LSTM

Analytics Vidhya

Introduction In natural language processing (NLP), it is important to understand and effectively process sequential data. Long Short-Term Memory (LSTM) models have emerged as a powerful tool for tackling this challenge. They offer the capability to capture both short-term nuances and long-term dependencies within sequences. Before delving into the intricacies of LSTM language translation models, […] The post Language Translation Using LSTM appeared first on Analytics Vidhya.

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A ‘Process’ For The AI Economy, Appian Weaves Richer Textures Into Data Fabric

Adrian Bridgwater for Forbes

We need to take all the subjectivity out of decisions so that they are based on data and facts. There’s a process behind how we use data for AI.

AI 299
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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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Databricks named a Leader in the 2024 Forrester Wave for Data Lakehouses

databricks

We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy.

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Rockets: A Good Analogy for AI Language Models

insideBIGDATA

In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. While the core engines impress, he explains the critical role of Vernier Thrusters in providing stability for the larger engine. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding.

AI 419
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Using ControlNet with Stable Diffusion

Machine Learning Mastery

ControlNet is a neural network that can improve image generation in Stable Diffusion by adding extra conditions. This allows users to have more control over the images generated. Instead of trying out different prompts, the ControlNet models enable users to generate consistent images with just one prompt. In this post, you will learn how to […] The post Using ControlNet with Stable Diffusion appeared first on MachineLearningMastery.com.

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5 AI Courses From Google to Advance Your Career

KDnuggets

Start your AI journey today with these courses from Google.

AI 387
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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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Top 7 Artificial Intelligence (AI) Internships for Freshers

Analytics Vidhya

Introduction In the rapidly evolving field of artificial intelligence (AI), where technology is developing at a dizzying rate and innovation is shaping the future, internships become essential entry points for future professionals. By bridging the gap between academic knowledge and practical application, these immersive learning activities offer priceless insights, skills, and networking possibilities.

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Why Vector Data Services For AI Are A Moveable Feast

Adrian Bridgwater for Forbes

It wasn’t long in the early evolution and revolution of cloud computing that we realized one cloud service in one place from one Cloud Services Provider (CSP, aka hype.

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Announcing General Availability of Ray on Databricks

databricks

We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use.

ML 334
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What AI Could, Should, and Would Do

insideBIGDATA

In this contributed article, Dr. Chirag Shah, professor in the Information School at the University of Washington, highlights how we are at a crossroads in our relationship with AI where what we choose now can have a huge impact on the future of AI and that of humanity. So the question is -- how do we make good choices? Let’s start by examining two extreme visions of AI.

AI 397
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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate