Sat.Aug 31, 2024 - Fri.Sep 06, 2024

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Hewlett Packard Enterprise Introduces One-click-deploy AI Applications in HPE Private Cloud AI 

insideBIGDATA

Hewlett Packard Enterprise (NYSE: HPE) announces HPE Private Cloud AI is available to order and introduces new solution accelerators to automate and streamline artificial intelligence (AI) applications. HPE Private Cloud AI is a turnkey, cloud-based experience co-developed with NVIDIA to help businesses of every size build and deploy generative AI (GenAI) applications that was introduced as part of the NVIDIA AI Computing by HPE portfolio.

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10 Built-In Python Modules Every Data Engineer Should Know

KDnuggets

Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.

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Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation

databricks

An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of.

ML 341
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What Makes Microsoft Phi 3.5 SLMs a Game-Changer for Generative AI?

Analytics Vidhya

Introduction The newest model collection from Microsoft’s Small Language Models (SLMs) family is called Phi-3. They surpass models of comparable and greater sizes on a variety of benchmarks in language, reasoning, coding, and math. They are made to be extremely powerful and economical. With Phi-3 models available, Azure clients have access to a wider range […] The post What Makes Microsoft Phi 3.5 SLMs a Game-Changer for Generative AI?

Azure 336
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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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insideAI News – Company Highlights for AI Hardware and Edge AI Summit 2024

insideBIGDATA

insideAI News is pleased to announce being a Media Partner for the upcoming AI Hardware & Edge AI Summit happening Sept. 9-12, 2024 in San Jose, Calif. Register now using the special insideAI News discount code “Insideai15” HERE. Editor-in-Chief & Resident Data Scientist, Daniel D.

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I Took Udacity’s Free A/B Testing Course by Google: Here’s What I Learned

KDnuggets

A beginner's guide to A/B testing by FAANG data scientists.

More Trending

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Is Google’s Imagen 3 the Future of AI Image Creation?

Analytics Vidhya

Introduction Text-to-image synthesis and image-text contrastive learning are two of the most innovative multimodal learning applications recently gaining popularity. With their innovative applications for creative image creation and manipulation, these models have revolutionized the research community and drawn significant public interest. In order to do further research, DeepMind introduced Imagen.

AI 328
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World Wide Technology Expands AI Proving Ground with NVIDIA NIM Agent Blueprints

insideBIGDATA

World Wide Technology (WWT), a global technology solutions provider leading the AI and Digital Revolution, announced a new initiative with NVIDIA to accelerate enterprise development and deployment of generative AI applications through the launch of NVIDIA NIM™ Agent Blueprints.

AI 435
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Using FastAPI for Building ML-Powered Web Apps

KDnuggets

A beginner tutorial on building a simple web application for machine learning model inference using FastAPI and Jinja2 templates.

ML 321
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10 Machine Learning Algorithms Explained Using Real-World Analogies

Machine Learning Mastery

When I was in high school and studied complex mathematics problems, I always used to think about why we were studying them or why they were useful. I was unable to understand and find their usage in the real world. Since machine learning is also a trending topic that many people want to explore, the […] The post 10 Machine Learning Algorithms Explained Using Real-World Analogies appeared first on MachineLearningMastery.com.

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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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10 Business Applications of LLM Agents

Analytics Vidhya

Introduction Large language models or LLMs are a game-changer especially when it comes to working with content. From supporting summarization, translation, and generation, LLMs like GPT-4, Gemini, and Llama have made it simple to work with content and data. While these can be enough for us as individuals, companies need systems that produce actionable results […] The post 10 Business Applications of LLM Agents appeared first on Analytics Vidhya.

Analytics 306
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Predictive Analytics: A Glimpse into Your Health’s Tomorrow!

insideBIGDATA

In this contributed article, Sanket Patel, co-founder of Digicorp, discusses how in the healthcare industry, predictive analytics aims to foresee patient health trends, treatment outcomes, and potential risks by analyzing vast amounts of medical data.

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Insurance Technology, How InsurTech Is Assured

Adrian Bridgwater for Forbes

InsurTech insurance technology is moving towards more on-demand delivery models embedded into our applications.

Big Data 300
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How to share AI/BI Dashboards with everyone in your organization

databricks

Learn all the ways you can publish and share AI/BI Dashboards with users inside and outside of your Databricks Workspace to democratize insights from data for everyone.

AI 296
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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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Why Should You Explore Civitai for Fine-Tuning AI Models?

Analytics Vidhya

Introduction How cool would it be if there was a platform where your creative visions come to life with just a few clicks—a world where you can fine-tune cutting-edge AI models to craft stunning images uniquely yours? Welcome to Civitai, a vibrant platform dedicated to empowering creators by providing access to a vast and ever-growing […] The post Why Should You Explore Civitai for Fine-Tuning AI Models?

AI 305
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Detecting and Overcoming Perfect Multicollinearity in Large Datasets

Machine Learning Mastery

One of the significant challenges statisticians and data scientists face is multicollinearity, particularly its most severe form, perfect multicollinearity. This issue often lurks undetected in large datasets with many features, potentially disguising itself and skewing the results of statistical models. In this post, we explore the methods for detecting, addressing, and refining models affected by […] The post Detecting and Overcoming Perfect Multicollinearity in Large Datasets appeared f

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Understanding the Basics of Reinforcement Learning

KDnuggets

How does AI learn by doing? Read this to discover the basics of reinforcement learning.

AI 273
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Revolutionizing Insight into Heavy Equipment Maintenance with GenAI

databricks

Maintaining heavy equipment assets, such as oil rigs, agricultural combines, or fleets of vehicles, poses an extremely complex challenge for global companies. These.

ML 286
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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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How Can Prompt Engineering Transform LLM Reasoning Ability?

Analytics Vidhya

Introduction If you’ve worked with Large Language Models (LLMs), you’re likely familiar with the challenges of tuning them to respond precisely as desired. This struggle often stems from the models’ limited reasoning capabilities or difficulty in processing complex prompts. Despite being trained on vast datasets, LLMs can falter with nuanced or context-heavy queries, leading to […] The post How Can Prompt Engineering Transform LLM Reasoning Ability?

Analytics 291
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Tips for Effective Feature Selection in Machine Learning

Machine Learning Mastery

When training a machine learning model, you may sometimes work with datasets with a large number of features. However, only a small subset of these features will actually be important for the model to make predictions. Which is why you need feature selection to identify these helpful features. This article covers useful tips for feature […] The post Tips for Effective Feature Selection in Machine Learning appeared first on MachineLearningMastery.com.

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New Study: 95% of Enterprises Need to Upgrade their Governance for GenAI Workloads

insideBIGDATA

IDC predicts that enterprises are poised to double their 2023 investments in GenAI from $19 billion to $151 billion by 2027. But where are enterprises today on their AI maturity journey? Do they have enough backing from the board? Do they have enough compute? Do they have everything they need to build AI responsibly and safely? And do they have actual AI projects in production with a clear path to ROI?

AI 273
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Cost savings on serverless compute for Notebooks, Jobs, and Pipelines

databricks

We recently announced the General Availability of our serverless compute offerings for Notebooks, Jobs, and Pipelines. Serverless compute provides rapid workload startup, automatic.

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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 10 YouTube Channels to Learn Excel

Analytics Vidhya

Introduction Excel is indispensable for boosting productivity and efficiency across all the fields. The wide range of resources on YouTube can help learners of all levels find helpful tutorials specific to their needs. This article showcases ten top YouTube channels for learning Excel, with each channel providing distinct content and teaching methods to assist in […] The post Top 10 YouTube Channels to Learn Excel appeared first on Analytics Vidhya.

Analytics 290
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Using FLUX.1 Locally

KDnuggets

Learn how to install Stable Diffusion WebUI Forge easily and set up the FLUX.1 [dev] model for local use on a laptop.

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The Power of Pipelines

Machine Learning Mastery

Machine learning projects often require the execution of a sequence of data preprocessing steps followed by a learning algorithm. Managing these steps individually can be cumbersome and error-prone. This is where sklearn pipelines come into play. This post will explore how pipelines automate critical aspects of machine learning workflows, such as data preprocessing, feature engineering, […] The post The Power of Pipelines appeared first on MachineLearningMastery.com.

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Enhanced Workflows UI reduces debugging time and boosts productivity

databricks

Data teams spend way too much time troubleshooting issues, applying patches, and restarting failed workloads. It's not uncommon for engineers to spend their.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Real-Time App Performance Monitoring with Apache Pinot

Analytics Vidhya

Introduction In today’s fast-paced software development environment, ensuring optimal application performance is crucial. Monitoring real-time metrics such as response times, error rates, and resource utilization can help maintain high availability and deliver a seamless user experience. Apache Pinot, an open-source OLAP datastore, offers the ability to handle real-time data ingestion and low-latency querying, making it […] The post Real-Time App Performance Monitoring with Apache Pinot ap

Analytics 290
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How to Compute the Cross-Correlation Between Two NumPy Arrays

KDnuggets

Let's see how to perform cross-correlation in NumPy, a method for measuring the similarity or relationship between two sequences of data as one is shifted in relation to the other.

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How I navigated my biggest career transition

Cassie Kozyrkov

One year after exiting my role as Google’s Chief Decision Scientist Continue reading on Medium »

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The short guide to understanding data intelligence

databricks

Terms like “data governance,” “Generative AI” and “large language models” are becoming commonplace in the workplace. But for business leaders, it takes more.

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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!