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Top 13 Advanced RAG Techniques for Your Next Project

Analytics Vidhya

Can AI generate truly relevant answers at scale? How do we make sure it understands complex, multi-turn conversations? And how do we keep it from confidently spitting out incorrect facts? These are the kinds of challenges that modern AI systems face, especially those built using RAG. RAG combines the power of document retrieval with the […] The post Top 13 Advanced RAG Techniques for Your Next Project appeared first on Analytics Vidhya.

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Announcing Automatic Publishing to Power BI

databricks

Were excited to announce the Public Preview of the Microsoft Power BI task type in Databricks Workflows, available on Azure, AWS, and GCP. With this.

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Mastering Data Normalization: A Comprehensive Guide

Data Science Dojo

Data normalizationsounds technical, right? But at its core, it simply means making data normal or well-structured. Now, that might sound a bit vague, so lets clear things up. But before diving into the details, lets take a quick step back and understand why normalization even became a thing in the first place. Think about itdata is everywhere. It powers business decisions, drives AI models, and keeps databases running efficiently.

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Fluidstack to Deploy Exascale GPU Clusters in Europe with NVIDIA, Borealis Data Center and Dell

insideBIGDATA

Fluidstack, an AI cloud platform, announced it is deploying and managing exascale clusters across Iceland and Europe in collaboration with Borealis Data Center, Dell Technologies and NVIDIA. Our mission has.

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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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Scammers Steal $1T a Year – Mostly from Americans

Hacker News

Scammers operate everywherejob recruitment sites, across social media, on dating apps and in your text messages. Arguably the most hurtful and damaging of these scams is romance scams, where the perpetrator spends weeks or months seducing a victim and earning their trust before conning them out of as much money as they can get. While people are getting better at spotting these scams, scammers are constantly advancing, too.

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First therapy chatbot trial shows AI can provide 'gold-standard' care

Flipboard

Dartmouth researchers conducted the first clinical trial of an AI-powered therapy chatbot and found that, on average, people with diagnosed mental disorders experienced clinically significant improvements in their symptoms over eight weeks, according to results published in& NEJM AI, a journal from the publishers of the New England Journal of Medicine.

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Lesser-Known Python Functions That Are Super Useful

KDnuggets

Go beyond the basics by adding these cool and useful Python functions to your programming toolbox.

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Universally Instance-Optimal Mechanisms for Private Statistical Estimation

Machine Learning Research at Apple

We consider the problem of instance-optimal statistical estimation under the constraint of differential privacy where mechanisms must adapt to the difficulty of the input dataset. We prove a new instance specific lower bound using a new divergence and show it characterizes the local minimax optimal rates for private statistical estimation. We propose two new mechanisms that are universally instance-optimal for general estimation problems up to logarithmic factors.

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Matrix Calculus (For Machine Learning and Beyond)

Hacker News

This course, intended for undergraduates familiar with elementary calculus and linear algebra, introduces the extension of differential calculus to functions on more general vector spaces, such as functions that take as input a matrix and return a matrix inverse or factorization, derivatives of ODE solutions, and even stochastic derivatives of random functions.

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AI Powers E-Commerce, But Scaling Up Presents Complex Hurdles

Dataconomy

E-commerce giants increasingly use artificial intelligence to power customer experiences, optimize pricing, and streamline logistics. However, an expert in the field says that scaling AI solutions to handle the massive volume of data and real-time demands of large platforms presents a complex set of architectural, data management, and ethical challenges.

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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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ROUGE: Decoding the Quality of Machine-Generated Text

Analytics Vidhya

Imagine an AI that can write poetry, draft legal documents, or summarize complex research papersbut how do we truly measure its effectiveness? As Large Language Models (LLMs) blur the lines between human and machine-generated content, the quest for reliable evaluation metrics has become more critical than ever. Enter ROUGE (Recall-Oriented Understudy for Gisting Evaluation), a […] The post ROUGE: Decoding the Quality of Machine-Generated Text appeared first on Analytics Vidhya.

Analytics 199
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Exploring the Role of Smaller LMs in Augmenting RAG Systems

KDnuggets

Let's discover what small language models (SLMs) are, how they can be used in RAG systems and applications, and when to use them over their large language counterparts.

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VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level

Machine Learning Research at Apple

Effective error analysis is critical for the successful development and deployment of CVML models. One approach to understanding model errors is to summarize the common characteristics of error samples. This can be particularly challenging in tasks that utilize unstructured, complex data such as images, where patterns are not always obvious. Another method is to analyze error distributions across pre-defined categories, which requires analysts to hypothesize about potential error causes in advan

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Self-Supervised Learning from Images with JEPA

Hacker News

This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive Architecture (I-JEPA), a non-generative approach for self-supervised learning from images. The idea behind I-JEPA is simple: from a single context block, predict the representations of various target blocks in the same image.

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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!

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MLCommons Releases MLPerf Inference v5.0 Benchmark Results

insideBIGDATA

Today, MLCommons announced new results for its MLPerf Inference v5.0 benchmark suite, which delivers machine learning (ML) system performance benchmarking. The rorganization said the esults highlight that the AI community is focusing on generative AI.

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5 Jobs AI Can’t Replace According to Bill Gates

Analytics Vidhya

Bill Gates recently appeared on The Tonight Show with Jimmy Fallon. They talked about his new book Source Code, his childhood, and 50 years of Microsoft. But the most powerful part of the conversation was about the future, especially the rise of AI and what it means for our jobs. Gates shared his thoughts in […] The post 5 Jobs AI Can’t Replace According to Bill Gates appeared first on Analytics Vidhya.

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A Gentle Introduction to Attention and Transformer Models

Machine Learning Mastery

Transformer is a deep learning architecture that is very popular in natural language processing (NLP) tasks. It is a type of neural network that is designed to process sequential data, such as text. In this article, we will explore the concept of attention and the transformer architecture.

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The Role of Prosody in Spoken Question Answering

Machine Learning Research at Apple

Spoken language understanding research to date has generally carried a heavy text perspective. Most datasets are derived from text, which is then subsequently synthesized into speech, and most models typically rely on automatic transcriptions of speech. This is to the detriment of prosody--additional information carried by the speech signal beyond the phonetics of the words themselves and difficult to recover from text alone.

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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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Weatherproofing Kubernetes, CloudBolt Acquires StormForge

Adrian Bridgwater for Forbes

FinOps specialist CloudBolt Software has acquired StormForge, a machine learning-powered Kubernetes resource optimization specialist.

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Creating a Data Science Pipeline for Real-Time Analytics Using Apache Kafka and Spark

KDnuggets

This article explains how to create a system that processes data in real time using Apache Kafka and Spark.

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Vibe Coding with Windsurf

Analytics Vidhya

Imagine bringing your coding ideas to life effortlessly, with AI guiding you every step of the way. Codeiums Windsurf turns software development into a smooth, intuitive process by streamlining coding, debugging, and optimization. The Windsurf Editor enhances productivity with code completion tools and smart IDE features, helping you refine code and solve problems before they […] The post Vibe Coding with Windsurf appeared first on Analytics Vidhya.

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News Bytes 20250401: Oracle’s Big AMD GPU Buy, ASML in China, Quantum in the News, the Award Winning Hoefler

insideBIGDATA

Happy April Fools Day to you! Heres a quick (8:42) review of recent news from the world of HPC-AI, including: AMD MI355X to debut with a 30,000-GPU Oracle cluster, in the face of U.S. trade policy, ASML to open repair hub in China, EuroHPC-JUs CINECA selects 140-qubit Pasqal system, rising star Torsten.

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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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What’s new with Data Sharing & Collaboration

databricks

Databricks enables organizations to securely share data, AI models, and analytics across teams, partners, and platforms without duplication or vendor lock-in. With Delta Sharing, Databricks.

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3 Ways Vibe Coding and AI-Assisted Development Are 2 Different Things

Machine Learning Mastery

In this article, we describe three important differences between vibe coding and AI-assisted development.

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Why You Aren’t Getting Hired as a Data Science in 2025

KDnuggets

Some say data science is dying, while others are more concerned with the imminent death of their own career.

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Bletchley code breaker Betty Webb dies aged 101

Hacker News

Betty Webb MBE worked at Bletchley Park during World War Two intercepting enemy messages.

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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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Starfish Storage Named ‘Data Solution of the Year for Education’

insideBIGDATA

WALTHAM, Mass., April 3, 2025 Metadata-driven unstructured data management Starfish Storage today announced it has won the Data Solution of the Year for Education award in the 6thannual Data Breakthrough Awards program conducted byData Breakthrough, a market intelligence organization that recognizes companies, technologies and products in the data technology market today.

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Announcing the General Availability of Lakeflow Connect

databricks

Were excited to announce the General Availability of Lakeflow Connect for Salesforce and Workday.

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OpenAI closes $40 billion funding round, largest private tech deal on record

Flipboard

OpenAI on Monday announced it had closed what amounts to the largest private tech funding round on record.

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VIP Cheatsheet: Transformers & Large Language Models

KDnuggets

Learn more about this handy resource created by Afshine and Shervine Amidi for Stanford's CME 295 course.

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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.