Sat.Sep 28, 2024 - Fri.Oct 04, 2024

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Top 8 Applications of RAGs in Workplaces

Analytics Vidhya

Introduction Retrieval-Augmented Generation (RAG) is one of the most exciting recent innovations in artificial intelligence (AI). RAGs combine the power of generative models, like GPT, with a retrieval system that searches for relevant information in real-time. This makes them highly effective tools for various job roles across various industries. Whether you’re a data scientist, a […] The post Top 8 Applications of RAGs in Workplaces appeared first on Analytics Vidhya.

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Implementing Data Governance in Data Science Pipelines: Techniques and Best Practices

KDnuggets

Discover the keys for a successful adoption of data governance schemes in your data science projects.

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The Good, the Bad, and the Future of Data AI

insideBIGDATA

In this contributed article, Paul Scott-Murphy, chief technology officer at Cirata, discusses key best practices for applying generative AI in today’s enterprises. The key to harnessing the explosion of AI is recognizing the good, bad, and future, letting those influence how and where we securely utilize it. Time invested now in doing this proactively will benefit you and your organization tomorrow.

AI 483
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Top 10 Generative AI Subreddits to Follow in 2024

Analytics Vidhya

Introduction Generative AI is the big talk of the town these days. Almost every day, we see a new model being released. Having a discussion group where the details of these advancements are discussed can greatly help individuals working in this field. This is why Reddit is so famous for all the GenAI discussions. I […] The post Top 10 Generative AI Subreddits to Follow in 2024 appeared first on Analytics Vidhya.

AI 271
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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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3 Ways to Run Llama 3.2 on Your Device

Analytics Vidhya

Introduction Meta recently launched Llama 3.2, its latest multimodal model. This version offers improved language understanding, provides more accurate answers and generates high-quality text. It can now analyze and interpret images, making it even more versatile in understanding and responding to various input types! Llama 3.2 is a powerful tool that can help you with […] The post 3 Ways to Run Llama 3.2 on Your Device appeared first on Analytics Vidhya.

Analytics 271
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Computer Science Jobs: 7 Leading Roles in the Tech Industry

Data Science Dojo

The demand for computer science professionals is experiencing significant growth worldwide. According to the Bureau of Labor Statistics , the outlook for information technology and computer science jobs is projected to grow by 15 percent between 2021 and 2031, a rate much faster than the average for all occupations. This surge is driven by the increasing reliance on technology in various sectors, including healthcare, finance, education, and entertainment, making computer science skills more cri

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7 Data Engineering Tools for Beginners

KDnuggets

Learn the data engineering tools for data orchestration, database management, batch processing, ETL (Extract, Transform, Load), data transformation, data visualization, and data streaming.

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Key Challenges and Limitations in AI-Language Models

Analytics Vidhya

Introduction Artificial Intelligence has been cementing its position in workplaces over the past couple of years, with scientists spending heavily on AI research and improving it daily. AI is everywhere, from simple tasks like virtual chatbots to complex tasks like cancer detection. It has even recently replaced several jobs in the industry. This inclusion of […] The post Key Challenges and Limitations in AI-Language Models appeared first on Analytics Vidhya.

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Build Compound AI Systems Faster with Databricks Mosaic AI

databricks

Many of our customers are shifting from monolithic prompts with general-purpose models to specialized compound AI systems to achieve the quality needed for.

AI 334
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Dataiku Launches LLM Guard Services to Control Generative AI Rollouts From Proof-of-Concept to Production in the Enterprise  

insideBIGDATA

Dataiku, the Universal AI Platform, today announced the launch of its LLM Guard Services suite that is designed to advance enterprise GenAI deployments at scale from proof-of-concept to full production without compromising cost, quality, or safety.

AI 429
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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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Building Command Line Apps in Python with Click

KDnuggets

Have you ever wondered how you can easily create command-line applications in Python? Gather yourself up because that is what I am going to cover today.

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Understanding SciPy Library in Python

Analytics Vidhya

Introduction Suppose you are a scientist or an engineer solving numerous problems – ordinary differential equations, extremal problems, or Fourier analysis. Python is already your favorite type of language given its easy usage in graphics and simple coding ability. But now, these are complex enough tasks, and therefore, one requires a set of powerful tools. […] The post Understanding SciPy Library in Python appeared first on Analytics Vidhya.

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Generating Coding Tests for LLMs: A Focus on Spark SQL

databricks

Introduction Applying Large Language Models (LLMs) for code generation is becoming increasingly prevalent, as it helps you code faster and smarter. A primary.

SQL 323
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Report Findings – Security Pros Identify GenAI as the Most Significant Risk for Organizations

insideBIGDATA

HackerOne, a leader in human-powered security, revealed data that found 48% of security professionals believe AI is the most significant security risk to their organization.

AI 417
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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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Ultimate Roadmap to Becoming a Tech Professional with Harvard for Free

KDnuggets

Jumping into the technology world doesn’t have to be so daunting.

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SAS Steers Toward Stronger AI Data Lifecyle Via Viya

Adrian Bridgwater for Forbes

Quietly reinventing its core technology proposition through the various ages of client-server, early networks and disaggregated computing, the first era of the web and.

AI 310
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How to embed AI/BI Dashboards into your websites and applications

databricks

We are thrilled to announce that embedding for AI/BI Dashboards is now available. Embedding enables you to seamlessly integrate Databricks AI/BI Dashboards into.

AI 311
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Top 10 Reddit Threads on Generative AI

Analytics Vidhya

Introduction As generative AI continues to advance, discussions about its potential, challenges, and future developments are intensifying. Reddit, a platform recognized for its thorough and candid conversations, has become a popular space for users to exchange insights, critiques, and predictions about this revolutionary technology. In this article, we delve into the top 10 generative AI […] The post Top 10 Reddit Threads on Generative AI appeared first on Analytics Vidhya.

AI 288
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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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5 Common Data Science Resume Mistakes to Avoid

KDnuggets

Want to create data science resumes that land interview calls and jobs? Avoid these common mistakes.

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Why AWS Gave OpenSearch To The Linux Foundation

Adrian Bridgwater for Forbes

AWS has transitioned OpenSearch under the Linux Foundation and so led to the creation of the OpenSearch Software Foundation.

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From Generalists to Specialists: The Evolution of AI Systems toward Compound AI

databricks

The buzz around compound AI systems is real, and for good reason. Compound AI systems combine the best parts of multiple AI models.

AI 299
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Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS

Machine Learning Mastery

LightGBM is a highly efficient gradient boosting framework. It has gained traction for its speed and performance, particularly with large and complex datasets. Developed by Microsoft, this powerful algorithm is known for its unique ability to handle large volumes of data with significant ease compared to traditional methods. In this post, we will experiment with […] The post Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS appeared first on MachineLearningMastery.com.

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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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How to Visualize Model Internals and Attention in Hugging Face Transformers

KDnuggets

Learn how to visualize the Hugging Face Transformers model and attention internally.

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Understanding SQL WHERE Clause

Analytics Vidhya

Introduction The WHERE clause is an essential component that is used in SQL statements. This option is used for filtering records in order to give out specific data from the database files. Suppose you have a huge list of customers storing their information in your database; you need to search for customers from a specific […] The post Understanding SQL WHERE Clause appeared first on Analytics Vidhya.

SQL 270
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Transforming Omics Data Management with Databricks Data Intelligence Platform

databricks

This blog explores how new technologies such as Databricks Data Intelligence Platform can pave the way for more effective and efficient multi-omics data management.

AI 285
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Industries in Focus: Machine Learning for Cybersecurity Threat Detection

Machine Learning Mastery

Cybersecurity threats are becoming increasingly sophisticated and numerous. To address these challenges, the industry has turned to machine learning (ML) as a tool for detecting and responding to cyber threats. This article explores five key ML models that are making an impact in cybersecurity threat detection, examining their applications and effectiveness in protecting digital assets. […] The post Industries in Focus: Machine Learning for Cybersecurity Threat Detection appeared first on

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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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Do We Really Need More Complex Models?

KDnuggets

Simplicity might be a better solution.

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Automating Email Sorting and Labelling with CrewAI

Analytics Vidhya

Introduction Never would have the inventor of email –Ray Tomlinson– thought of how far this piece of tech would reach in the future. Today, email is the prime pillar of corporate and professional communications and is used in innumerable facets of the working world. And this has propelled the creation of a whole set of […] The post Automating Email Sorting and Labelling with CrewAI appeared first on Analytics Vidhya.

Analytics 269
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Unlocking Financial Insights with a Custom Text-to-SQL Application

databricks

Introduction Retrieval-augmented generation (RAG) has revolutionized how enterprises harness their unstructured knowledge base using Large Language Models (LLMs), and its potential has far-reaching.

SQL 275
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Best AI Code Generator Tools for Developers of All Levels

Data Science Dojo

Not long ago, writing code meant hours of manual effort—every function and feature painstakingly typed out. Today, things look very different. AI code generator tools are stepping in, offering a new way to approach software development. These tools turn your ideas into functioning code, often with just a few prompts. Whether you’re new to coding or a seasoned pro, AI is changing the game, making development faster, smarter, and more accessible.

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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!