insideBIGDATA

MAY 18, 2024

FinTech Studios Inc., a leading Gen AI platform for enterprise search, market intelligence and regulatory intelligence, announced Apollo PRO and RegLens PRO, the most advanced generative AI enterprise search, market intelligence and regulatory intelligence apps that includes a “conversational chat” interface and contextually relevant “suggested prompts”, seamlessly integrated with millions of authoritative sources of web and enterprise content.

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KDnuggets

MAY 8, 2024

Want to build cool AI applications? Start learning AI today with these free courses from NVIDIA.

AI 395

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Analytics Vidhya

MAY 23, 2024

Introduction LLM Agents play an increasingly important role in the generative landscape as reasoning engines. But most of the agents have the shortcomings of failing or going into hallucinations. However, agents face formidable challenges within Large Language Models (LLMs), including context understanding, coherence maintenance, and dynamic adaptability.

Analytics 374

Analytics Analytics 374

databricks

MAY 19, 2024

We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing.

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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.

Analytics

Adrian Bridgwater for Forbes

MAY 7, 2024

Red Hat has explanied that the AI-ready iteration of Linux for today is now here and states that the cloud is hybrid. and so, logically, so is AI.

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Data Science Dojo

MAY 27, 2024

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. Yet the crucial question arises: Which of these emerges as the foremost driving force in AI innovation?

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KDnuggets

MAY 14, 2024

Want to learn machine learning from the best of resources? Check out these free machine learning courses from the top universities of the world.

Machine Learning 390

Machine Learning Machine Learning 390

Analytics Vidhya

MAY 27, 2024

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

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databricks

MAY 22, 2024

We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative.

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Clustering 355

Machine Learning Mastery

MAY 20, 2024

Image created by Author using Midjourney Large language models (LLMs) have become extremely prominent and useful for all sorts of tasks, but new users may find the large number of LLM tools and utilities intimidating. This article focuses on 5 of the available and widely-useful such tools, all of which are no-cost and created to […] The post 5 Essential Free Tools for Getting Started with LLMs appeared first on MachineLearningMastery.com.

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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.

AI

Data Science Dojo

MAY 7, 2024

In recent years, the landscape of artificial intelligence has been transformed by the development of large language models like GPT-3 and BERT, renowned for their impressive capabilities and wide-ranging applications. However, alongside these giants, a new category of AI tools is making waves—the small language models (SLMs). These models, such as LLaMA 3, Phi 3, Mistral 7B, and Gemma, offer a potent combination of advanced AI capabilities with significantly reduced computational demands.

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insideBIGDATA

MAY 17, 2024

In this contributed article, freelance writer Ainsley Lawrence briefly explores deploying machine learning models, showing you how to manage multiple models, establish robust monitoring protocols, and efficiently prepare to scale.

Machine Learning 417

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KDnuggets

MAY 22, 2024

We are all looking for the right opportunities in our career. In the landscape of data-related careers, the roles can be grouped into classes, and future opportunities tend to follow natural migration paths between the class groups.

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Analytics Vidhya

MAY 8, 2024

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning – it would be GitHub. The sheer scale of GitHub, combined with the power of super data scientists from all over the globe, make it a must-use platform for anyone interested […] The post 15+ Github Machine Learning Repositories for Data Scientists appeared first on Analytics Vidhya.

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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

AI

databricks

MAY 30, 2024

Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.

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Machine Learning Mastery

MAY 29, 2024

Introduction The process of deploying machine learning models is an important part of deploying AI technologies and systems to the real world. Unfortunately, the road to model deployment can be a tough one. The process of deployment is often characterized by challenges associated with taking a trained model — the culmination of a lengthy data-preparation […] The post Tips for Deploying Machine Learning Models Efficiently appeared first on MachineLearningMastery.com.

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Adrian Bridgwater for Forbes

MAY 26, 2024

Higher resolution data has a rich set of values related to images, movement, sound and unstructured elements that we now seek to bring structure to.

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insideBIGDATA

MAY 10, 2024

In this contributed article, Chief Operating Officer at Flashtalking and Mediaocean, Ben Kartzman, discusses how advancements in contextual intelligence and GenAI are transforming creative personalization in digital advertising amid diminishing data signals like Mobile Ad IDs and third-party cookies. Ben points out that AI-driven improvements enable more accurate targeting and tailored ad creative, while GenAI facilitates the real-time creation of new ad assets, leading to unprecedented personal

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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.

AI

KDnuggets

MAY 28, 2024

Check out this beginner's guide to take advantage of Google’s AI tools.

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AI AI Artificial Intelligence Artificial Intelligence 383

Analytics Vidhya

MAY 6, 2024

In a significant stride towards democratizing robotics, Hugging Face introduces LeRobot, a pioneering library tailored for real-world applications. This new library emerges as a bridge between cutting-edge research and tangible robotic behaviors. Let’s delve into the intricacies of this promising, community-driven initiative. Also Read: Hugging Face Releases World’s Largest Open Synthetic Dataset The Birth of […] The post Hugging Face Introduces LeRobot: The First Robotics Library ap

Analytics 353

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databricks

MAY 21, 2024

Following the announcement we made around a suite of tools for Retrieval Augmented Generation, today we are thrilled to announce the general availability.

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Machine Learning Mastery

MAY 11, 2024

From the prompt to the picture, Stable Diffusion is a pipeline with many components and parameters. All these components working together creates the output. If a component behave differently, the output will change. Therefore, a bad setting can easily ruin your picture. In this post, you will see: How the different components of the Stable […] The post How to Use Stable Diffusion Effectively appeared first on MachineLearningMastery.com.

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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?

Adrian Bridgwater for Forbes

MAY 17, 2024

We can now use FinOps to more directly assess (and control) the cost of cloud, but while FinOps adoption is massive, its impact remains elusive.

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insideBIGDATA

MAY 11, 2024

Mindrift, a new data generation platform and community for subject matter experts across industries to create high quality datasets for safe, accurate, and responsible AI development, is celebrating its launch by releasing an “AI and the Workforce” report, which surveyed over 1,000 Americans.

AI 395

AI AI Deep Learning Deep Learning 395

KDnuggets

MAY 28, 2024

Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.

Data Science 380

Data Science 380

Analytics Vidhya

MAY 9, 2024

Introduction Acquiring knowledge Python provides a variety of options for programmers, regardless of skill level. It is rewarding and pleasant with its simple syntax and large library ecosystem. You can make a lot of different kinds of applications with Python, from simple python code to difficult software packages. This guide provides resources, pointers, and guidance […] The post How to Learn Python?

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databricks

MAY 22, 2024

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools.

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insideBIGDATA

MAY 10, 2024

In this contributed article, Jordan Winkelman, Quantum’s Field CTO, discusses how organizations across industries are facing a shift in infrastructure and storage requirements to deliver incredible performance, flexibility, and scalability on a level we’ve never seen before because of the proliferation of AI technologies. Moving forward, there will be a major focus on simplicity in storage—often through the use of AI—to keep up with changing demands, allowing organizations to maximize AI to give

AI 395

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insideBIGDATA

MAY 31, 2024

In this contributed article, Simone Bohnenberger-Rich, PhD, Chief Product Officer at Phrase, explores the dangers and challenges posed to business leaders as gen AI companies like ChatGPT open up their tools for deeper integration into organizations.

AI 386

AI AI Deep Learning Deep Learning 386

KDnuggets

MAY 3, 2024

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

Python 380

Python 380

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!