Sat.Aug 17, 2024 - Fri.Aug 23, 2024

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It Takes More than Prompt Engineering to Achieve GenAI Accuracy

insideBIGDATA

In this contributed article, Liran Hason, Co-Founder and CEO of Aporia, addresses the limitations of prompt engineering, outlining his argument for more comprehensive protection – namely, the implementation of guardrails between the LLM and end-user – to keep AI accurate while preventing unwanted behavior.

AI 468
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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 373
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Top 17 trending interview questions for AI Scientists

Data Science Dojo

The demand for AI scientist is projected to grow significantly in the coming years, with the U.S. Bureau of Labor Statistics predicting a 35% increase in job openings from 2022 to 2032. AI researcher role is consistently ranked among the highest-paying jobs, attracting top talent and driving significant compensation packages. Industry Adoption: Widespread Implementation: AI and data science are being adopted across various industries, including healthcare, finance, retail, and manufacturing, dri

AI 364
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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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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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Heard on the Street – 8/21/2024

insideBIGDATA

Welcome to insideAI News’s “Heard on the Street” round-up column. In this feature, we highlight thought-leadership commentaries from members of the AI industry ecosystem. We cover the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

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Pip Install YOU: A Beginner’s Guide to Creating Your Python Library

KDnuggets

Have you ever wanted to create your library in Python? Well, it’s achievable and surprisingly quite easy!

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More Trending

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Databricks Data Warehouse Brickbuilder Migration Solutions Help Businesses Democratize Data and Analytics

databricks

Today, we're excited to announce the launch of Data Warehouse Brickbuilder Migration Solutions. This is an expansion to the Brickbuilder Program , which.

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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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NumPy with Pandas for More Efficient Data Analysis

KDnuggets

Improve your Pandas processing with the NumPy package.

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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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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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Onboarding your new AI/BI Genie

databricks

Deploying an AI/BI Genie is like hiring a new data analyst. This blog covers the basics you need to successfully onboard your Genie and maximize the benefits.

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Turnitin Empowers Educators with New Offerings as AI Moves into Schools

insideBIGDATA

Today, Turnitin, a leading provider of technology solutions in academic integrity, announced it will expand its offerings to advance classroom digitization through AI-powered grading, enhanced AI writing detection and customizable individual feedback for students.

AI 351
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Top 5 Free Machine Learning Courses to Level Up Your Skills

KDnuggets

The article highlights five top free machine learning courses to enhance your skills.

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Is Hallucination in Large Language Models (LLMs) Inevitable?

Analytics Vidhya

Introduction You’ve probably interacted with AI models like ChatGPT, Claude, and Gemini for various tasks – answering questions, generating creative content, or assisting with research. But did you know these are examples of large language models (LLMs)? These powerful AI systems are trained on enormous text datasets, enabling them to understand and produce text that […] The post Is Hallucination in Large Language Models (LLMs) Inevitable?

Analytics 319
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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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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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Unlock Real-Time Cross-Platform Collaboration with Delta Sharing Tableau Connector

databricks

Special thanks to Kevin Glover, Martin Ko, Kuber Sharma and the team at Tableau for their valuable insights and contributions to this blog.

Tableau 290
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Building a Recommendation System with Hugging Face Transformers

KDnuggets

Learn how to build the recommendation system with advanced technology.

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How Does AI Work?

Analytics Vidhya

Introduction Technology has given us a sense of imagining our world where machines can even identify our preferences and anticipate the things that we need along with analyzing past interactions to deliver better output. The future depicted in this world is not the future; it is the present, facilitated by Artificial Intelligence. From the virtual […] The post How Does AI Work?

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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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Basic Statistical Analysis with NumPy

Machine Learning Mastery

Introduction Statistical analysis is important in data science. It helps us understand data better. NumPy is a key Python library for numerical operations. It simplifies and speeds up this process. In this article, we will explore several functions for basic statistical analysis offered by NumPy. NumPy is a Python library for numerical computing. It helps […] The post Basic Statistical Analysis with NumPy appeared first on MachineLearningMastery.com.

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Decube Launches AI Copilot to Revolutionize Data-Driven Decision-Making

insideBIGDATA

Decube, a pioneer in unified data management solutions, announced the launch of their Copilot, an advanced AI-driven tool designed to empower organizations with seamless, data-driven decision-making capabilities. Decube's Copilot is poised to transform how businesses interact with and leverage their data, making it more accessible, actionable, and insightful.

AI 284
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5 Tips for Effective Data Visualization

KDnuggets

Looking to make your data visuals stand out? Check out these five tips for effective data visualization.

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A Comprehensive Guide to Selenium with Python

Analytics Vidhya

Introduction Suppose you are a developer expected to carry out testing on a large web application. It is impossible to go through each feature and all the interactions one by one which may take days or even weeks. Enter Selenium, the game changing tool which automates web browser interaction and thus is more efficient when […] The post A Comprehensive Guide to Selenium with Python appeared first on Analytics Vidhya.

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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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A Gentle Introduction to Bayesian Statistics

Machine Learning Mastery

Bayesian statistics constitute one of the not-so-conventional subareas within statistics, based on a particular vision of the concept of probabilities. This post introduces and unveils what bayesian statistics is and its differences from frequentist statistics, through a gentle and predominantly non-technical narrative that will awaken your curiosity about this fascinating topic.

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Announcing the Pycharm Integration with Databricks

databricks

We are excited to announce the latest addition to the Databricks developer experience: the PyCharm Professional Integration with Databricks ! This new plugin.

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How to Conduct Time Series Analysis in R

KDnuggets

This article explains the basics of time series analysis. Learn to prepare your data and visualize trends in R.

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(SAMPLE) How Generative AI is Revolutionizing Software Development? 

Analytics Vidhya

(SAMPLE) How Generative AI is Revolutionizing Software Development? Introduction Welcome to the future of software development! Generative AI (GenAI) has evolved from a mere buzzword into a powerful force that is fundamentally changing how we create software. No longer limited to theoretical concepts, GenAI is now at the forefront of innovation, automating tasks, generating code, […] The post (SAMPLE) How Generative AI is Revolutionizing Software Development?

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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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One Hot Encoding: Understanding the “Hot” in Data

Machine Learning Mastery

Preparing categorical data correctly is a fundamental step in machine learning, particularly when using linear models. One Hot Encoding stands out as a key technique, enabling the transformation of categorical variables into a machine-understandable format. This post tells you why you cannot use a categorical variable directly and demonstrates the use One Hot Encoding in […] The post One Hot Encoding: Understanding the “Hot” in Data appeared first on MachineLearningMastery.com.

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Ultra-Processed Mood: Appian Injects AI Deeper Into Business Workflows

Adrian Bridgwater for Forbes

Process management and low-code technology specialist Appian has deployed a new raft of business AI automations.

AI 260
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Using Hugging Face Transformers for Emotion Detection in Text

KDnuggets

Learn how to harness Hugging Face pre-trained language models to classify the emotions behind tweets.

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Will this Google Deepmind Robot Play Table Tennis in the 2028 Olympics?

Analytics Vidhya

Introduction We have said au revoir to the Olympic Games Paris 2024, and the next will be held after 4 years, but the development by Google DeepMind may signal a new era in sports and robotics development. I recently came across a fascinating research paper (Achieving Human-Level Competitive Robot Table Tennis) by Google DeepMind that […] The post Will this Google Deepmind Robot Play Table Tennis in the 2028 Olympics?

Analytics 306
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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!