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How to Run Llama 3 Locally?

Analytics Vidhya

Introduction Discover the latest milestone in AI language models with Meta’s Llama 3 family. From advancements like increased vocabulary sizes to practical implementations using open-source tools, this article dives into the technical details and benchmarks of Llama 3. Learn how to deploy and run these models locally, unlocking their potential within consumer hardware.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? Why is it now subject to the same kind of antitrust complaints faced by Microsoft, once the “evil empire” of the previous generation of computing? Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements

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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

It’s Wednesday night. You’re fast asleep aboard the USS Enterprise Star Trek. Suddenly, you wake to an urgent announcement and rush to the bridge of the starship. Captain James T. Kirk is activating warp drive and you see the iconic blurred streaks of light as the spaceship reaches warp speed. Within seconds, you are traveling faster than the speed of light to reach a Klingon war in the Alpha Quadrant–arriving in minutes versus years.

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Ultimate Collection of 50 Free Courses for Mastering Data Science

KDnuggets

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Dynamic DAG generation with YAML and DAG Factory in Amazon MWAA

AWS Big Data

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure. In Airflow, Directed Acyclic Graphs (DAGs) are defined as Python code.

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Fine-tuning Google Gemma with Unsloth

Analytics Vidhya

Introduction Converting natural language queries into code is one of the toughest challenges in NLP. The ability to change a simple English question into a complex code opens up a number of possibilities in developer productivity and a quick software development lifecycle. This is where Google Gemma, an Open Source Large Language Model comes into […] The post Fine-tuning Google Gemma with Unsloth appeared first on Analytics Vidhya.

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Salesforce-Informatica acquisition talks falls through: Report

CIO Business Intelligence

Salesforce’s negotiations to acquire enterprise data management software provider Informatica have fallen through as both couldn’t agree on the terms of the deal. That the talks about the deal had come to a close was reported by The Wall Street Journal (WSJ) and Reuters , citing an anonymous source. The disagreement about the terms of the deal is more likely to be around the price of each share of Informatica, WSJ reported, adding that Salesforce was negotiating a mid-30s price per share with th

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7 Steps to Mastering MLOPs

KDnuggets

Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.

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A Look Back at the Gartner Data and Analytics Summit

Cloudera

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner.

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Samsung Unveils Fastest-Ever DRAM Chip for AI Applications

Analytics Vidhya

Samsung Electronics has introduced a revolutionary LPDDR5X DRAM chip, heralding a new era in artificial intelligence (AI) applications. This chip boasts unparalleled speed, capacity, and power efficiency, setting a new standard for on-device AI processing. Let’s find out more about this latest innovation from Samsung. Also Read: Meta Unveils Its Best AI Chip Yet Technological […] The post Samsung Unveils Fastest-Ever DRAM Chip for AI Applications appeared first on Analytics Vidhya.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices.

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CIOs not entirely sold on generative AI copilots

CIO Business Intelligence

A new breed of AI assistant has set its sights on the enterprise user in recent months, with Microsoft and other vendors promising huge productivity gains that offset the cost. But Microsoft still has work to do on its value proposition. Its Copilot for Microsoft 365, a high-profile offering among the growing list of AI agents, costs $30 per seat per month, with a 300-seat minimum.

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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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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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.

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Introducing Amazon MWAA larger environment sizes

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that streamlines the setup and operation of the infrastructure to orchestrate data pipelines in the cloud. Customers use Amazon MWAA to manage the scalability, availability, and security of their Apache Airflow environments. As they design more intensive, complex, and ever-growing data processing pipelines, customers have asked us for additional underlying resources to provide greater concurrency an

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Decoding Salesforce’s plausible $11 billion bid to acquire Informatica

CIO Business Intelligence

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. “With this deal, Salesforce would be the dominant data integration company, making it the starting point for enterprises trying to bring disparate data sources together,” said Hyoun Park, chief analyst at Amalgam Insights.

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Retrieval Augmented Generation: Where Information Retrieval Meets Text Generation

KDnuggets

This article introduces retrieval augmented generation, which combines text generation with informaton retrieval in order to improve language model output.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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The journey to a mature asset management system

IBM Big Data Hub

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes.

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Top 10 AI Tools for Social Media

Analytics Vidhya

Introduction Hi there, lovers of social media! Are you interested in learning the trick to flawlessly content that drawsattention on its own? Then you need to start using AI tools. We’ll explore the top 10 AI tools that are revolutionizing social media management. These tools offer innovative solutions for everything from content creation to analytics, […] The post Top 10 AI Tools for Social Media appeared first on Analytics Vidhya.

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New AI Startups Surpass ChatGPT for Legal Solutions

Smart Data Collective

Unleash the power of new AI startups transforming legal solutions, surpassing ChatGPT's performance. Elevate your legal processes today!

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4 tips for championing contact center innovation from an award-winning customer experience leader

CIO Business Intelligence

Innovation is essential, especially in the contact center as the tip of the spear in customer experience, but how do you activate your modernization plan? I had the opportunity to speak with Mary Daniel, VP of Customer Solutions Center for Aflac, a long-time Avaya customer, at the Gartner Symposium last fall. Mary is a veteran when it comes to customer experience and was most recently named by Constellation Research to the AX100 list , an elite group of executives who are breaking barriers and

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Build a Command-Line App with Python in 7 Easy Steps

KDnuggets

Let's learn Python by building a command-line TO-DO list app, one step at a time.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work.

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Salary Trends in GenAI – One of the Lucrative Jobs in the 21st Century

Analytics Vidhya

Introduction The birth of AI in the 1950s, its maturation in the 1960s, and the boom in the 1980s have resulted in today’s GenAI era—a generation witnessing the culmination of decades of innovation, laying the foundation for unprecedented advancements in technology, society, and beyond. GenAI, a subset of artificial intelligence, is known for increased efficiency, […] The post Salary Trends in GenAI – One of the Lucrative Jobs in the 21st Century appeared first on Analytics Vidhya.

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Climate and Sustainability Hackathon—Meet the Judges!

Cloudera

Back in October, we announced the first-ever Cloudera Climate and Sustainability Hackathon , powered by AMD. The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Cybersecurity e NIS2: come si muovono i CIO per dormire sonni (un po’) più tranquilli

CIO Business Intelligence

La cybersecurity toglie il sonno ai CIO? Sicuramente la grande maggioranza dei Chief Information Officer definisce “priorità numero uno” la sicurezza dei sistemi IT aziendali. Questa attenzione massima rispecchia la consapevolezza che le cyber-minacce sono sempre più numerose e preoccupanti. L’ultimo Rapporto Clusit ha contato 2.779 incidenti gravi a livello globale nel 2023 (+12% rispetto al 2022), di cui 310 in Italia, ovvero l’11% del totale mondiale e un incremento addirittura del 65% in un

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Vector Databases in AI and LLM Use Cases

KDnuggets

Learn about Vectors and How Storing Data Can Be Used in LLM Applications.

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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. Through the implementation of generative AI we are able to expand our knowledge to many individuals easily, quickly and efficiently becoming a resource.

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Microsoft’s New AI Model Made Mona Lisa Sing!

Analytics Vidhya

Microsoft has recently introduced VASA-1, an innovative AI model that breathes life into still images by animating them with lifelike talking faces. A demo video created using this model, showing Mona Lisa rapping, has gone viral, sparking excitement among the masses. However, this new technology has also raised concerns due to its potential applications and […] The post Microsoft’s New AI Model Made Mona Lisa Sing!

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr