August, 2024

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Data Sovereignty in the AI Era

insideBIGDATA

In this contributed article, Yoram Novick, President and CEO of Zadara, discusses how enterprises are in search of and implementing their own AI powered clouds, and the benefits and challenges they face in the effort to keep their data available and secure.

AI 492
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Optimizing Your LLM for Performance and Scalability

KDnuggets

Optimize LLM performance and scalability using techniques like prompt engineering, retrieval augmentation, fine-tuning, model pruning, quantization, distillation, load balancing, sharding, and caching.

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professionals

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Long Context RAG Performance of LLMs

databricks

Retrieval Augmented Generation (RAG) is the most widely adopted generative AI use case among our customers. RAG enhances the accuracy of LLMs by.

AI 363
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Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks

Analytics Vidhya

Introduction In language models, where the quest for efficiency and precision is paramount, Llama 3.1 Storm 8B emerges as a notable achievement. This fine-tuned version of Meta’s Llama 3.1 8B Instruct represents a leap forward in enhancing conversational and function-calling capabilities within the 8B parameter model class. The journey to this advancement is rooted in […] The post Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks appeared first on Analy

Analytics 350
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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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SAS Defines Hybrid Reality For Quantum Computing

Adrian Bridgwater for Forbes

If Schrödinger’s cat is both alive and dead at the same time, what matters most is how we will make practical use of quantum computing and where it will be applied.

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Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)

Eugene Yan

Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.

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More Trending

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10 Python Libraries Every Data Scientist Should Know

KDnuggets

Want to take the next step in your journey to becoming a data scientist? Check out these Python libraries for data science that you can't do without.

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Databricks Clean Rooms for privacy-safe collaboration is in Public Preview

databricks

Fueled by the exponential growth in external data and AI for innovation, organizations across all industries are looking for effective ways to collaborate.

AI 351
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How to Enroll for 5 Days ISRO AI Free Courses?

Analytics Vidhya

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). From August 19 to 23, ISRO will conduct a free, comprehensive online course designed to […] The post How to Enroll for 5 Days ISRO AI Free Courses?

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Qualys: Risk Remediation Is ‘Not A Patch’ On The Modern Approach

Adrian Bridgwater for Forbes

This year sees the arrival of Qualys TruRisk Eliminate, a software offering that provides additional innovative remediation methods when patching isn't feasible.

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Apache Airflow®: The Ultimate Guide to 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!

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10 Must-Know Python Libraries for Machine Learning in 2024

Machine Learning Mastery

As we progress through 2024, machine learning (ML) continues to evolve at a rapid pace. Python, with its rich ecosystem of libraries, remains at the forefront of ML development. In this post, we’ll explore the top 10 Python libraries dominating the ML scene in 2024, how the field has changed since 2020, and the key […] The post 10 Must-Know Python Libraries for Machine Learning in 2024 appeared first on MachineLearningMastery.com.

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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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Beginner’s Guide to Careers in AI and Machine Learning

KDnuggets

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

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Announcing General Availability of Lakehouse Federation

databricks

Today, we are excited to announce that Lakehouse Federation in Unity Catalog is now Generally Available (GA) across AWS, Azure, and GCP! Lakehouse.

Azure 349
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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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ChatGPT-4 vs. Llama 3.1 – Which Model is Better?

Analytics Vidhya

Introduction Artificial Intelligence has seen remarkable advancements in recent years, particularly in natural language processing. Among the numerous AI language models, two have garnered significant attention: ChatGPT-4 and Llama 3.1. Both are designed to understand and generate human-like text, making them valuable tools for various applications, from customer support to content creation.

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Rewiring Our Understanding Of Software Energy Consumption

Adrian Bridgwater for Forbes

More efficient software and software operations means lower power bills for the users, as well as a smaller carbon impact. Efficient applications benefit everyone.

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How to become a data scientist – Key concepts to master data science

Data Science Dojo

Want to know how to become a Data scientist? Use data to uncover patterns, trends, and insights that can help businesses make better decisions. Imagine you’re trying to figure out why your favorite coffee shop is always busy on Tuesdays. A data scientist could analyze sales data, customer surveys, and social media trends to determine the reason.

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Wiliot Develops Generative AI Tool for Unlocking Natural-Language Insights into Vast, End-to-End Supply Chains

insideBIGDATA

Wiliot, the ambient Internet of Things (IoT) pioneer, announced today the launch of WiliBot, a generative AI (GenAI) chatbot that enables natural-language conversations with ambient IoT-connect products.

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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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10 Free Resources to Learn LLMs

KDnuggets

Learn large language models with these free resources from Deeplearning.AI, Microsoft, AWS, and more.

AWS 376
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Announcing Hybrid Search General Availability in Mosaic AI Vector Search

databricks

We're excited to announce the general availability of hybrid search in Mosaic AI Vector Search. Hybrid search is a powerful feature that combines.

AI 335
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Gemma Scope: Google’s Microscope for Peering into AI’s Thought Process

Analytics Vidhya

Introduction In Artificial Intelligence, Understanding the underlying workings of language models has proven to be significant and difficult. Google has made a significant step forward in tackling this issue by releasing Gemma Scope, a comprehensive package of tools to assist researchers in peering inside the “black box” of AI language models.

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Google Cloud Tightens Seal On Air-Gapped Software

Adrian Bridgwater for Forbes

Google Distributed Cloud air-gapped appliance is a physical device roughly 100-pounds in weight that can be carried by two people.

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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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7 Machine Learning Projects That Can Add Value to Any Resume

Machine Learning Mastery

Learning by doing is the best way to master essential skills for becoming a machine learning engineer. Instead of just focusing on simple classification and regression models. In this blog, we will focus on advanced machine learning projects that will impact your resume and attract recruiters and hiring managers. We will learn about computer vision […] The post 7 Machine Learning Projects That Can Add Value to Any Resume appeared first on MachineLearningMastery.com.

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How AI Is Lending a Helping Hand in the Data Security Industry

insideBIGDATA

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, highlights how AI is turning into the trusty sidekick that every cybersecurity hero needs. Let’s dive into how AI is shaking things up and helping keep our digital lives safe and sound.

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10 GitHub Repositories to Master Statistics

KDnuggets

Learn statistics through interactive books, code examples, cheat sheets, guides, and tools documentation.

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Accelerate Feature Engineering With Photon

databricks

Training a high-quality machine learning model requires careful data and feature preparation. To fully utilize raw data stored as tables in Databricks, running.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Abstraction

Analytics Vidhya

Introduction AdalFlow, founded by Li Yin, was created to bridge the gap between Retrieval-Augmented Generation (RAG) research and product development. While both communities use PyTorch, existing frameworks either lack real-world flexibility or are too complex for research. AdalFlow provides a unified library with strong string processing, flexible tools, multiple output formats, and model monitoring like […] The post Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Ab

Analytics 319
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LLM in a Flash: Efficient Large Language Model Inference with Limited Memory

Machine Learning Research at Apple

This paper was accepted at the ACL 2024 Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their substantial computational and memory requirements present challenges, especially for devices with limited DRAM capacity. This paper tackles the challenge of efficiently running LLMs that exceed the available DRAM capacity by storing the model parameters in flash memory, but bringing them on demand to DRAM.

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Capturing Curves: Advanced Modeling with Polynomial Regression

Machine Learning Mastery

When we analyze relationships between variables in machine learning, we often find that a straight line doesn’t tell the whole story. That’s where polynomial transformations come in, adding layers to our regression models without complicating the calculation process. By transforming our features into their polynomial counterparts—squares, cubes, and other higher-degree terms—we give linear models the […] The post Capturing Curves: Advanced Modeling with Polynomial R

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Transforming AI’s Memory Constraints: The Evolution with CXL Technology

insideBIGDATA

In this contributed article, Jianping (JP) Jiang, VP of Business, Operation and Product at Xconn Technologies, discusses how the integration of CXL technology is a pivotal moment in overcoming the memory barriers faced by AI and HPC applications. By significantly enhancing memory bandwidth, capacity, and interoperability, CXL not only optimizes current workloads but also sets the stage for future advancements.

AI 418
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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.