Sat.Mar 22, 2025 - Fri.Mar 28, 2025

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You can now download the source code that sparked the AI boom

Flipboard

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not. Deep learning , which uses multi-layered neural networks that can learn from data without explicit programming, represented a significant departure from traditional AI approaches that relied on hand-crafted ru

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Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

Machine Learning Research at Apple

In this work, we dive into the fundamental challenges of evaluating Text2SQL solutions and highlight potential failure causes and the potential risks of relying on aggregate metrics in existing benchmarks. We identify two largely unaddressed limitations in current open benchmarks: (1) data quality issues in the evaluation data mainly attributed to the lack of capturing the probabilistic nature of translating a natural language description into a structured query (e.g., NL ambiguity), and (2) the

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10 Pandas One-Liners for Data Cleaning

KDnuggets

Want to make data cleaning more enjoyable? These pandas one-liners for data cleaning will help you get more done with less!

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TAO: Using test-time compute to train efficient LLMs without labeled data

databricks

Large language models are challenging to adapt to new enterprise tasks. Prompting is error-prone and achieves limited quality gains, while fine-tuning requires large amounts of.

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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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Cool Site Shows Exactly Which Books Zuckerberg's Minions Illegally Downloaded to Train Meta's AI

Flipboard

For all the revolutionary change artificial intelligence promises, it also makes lofty demands. For starters, AI is extraordinarily power hungry. Generating all the electricity that AI datacenters consume takes forest-loads of energy, not to mention hardware and cooling infrastructure. That stuff all costs a lot, making AI a huge money pit. That's had a big effect on our economy, as the tiniest bit of AI hype can send huge shockwaves through Wall Street and beyond.

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Implementing Multilingual Translation with T5 and Transformers

Machine Learning Mastery

This post is divided into three parts; they are: Setting up the translation pipeline Translation with alternatives Quality estimation Text translation is a fundamental task in natural language processing, and it inspired the invention of the original transformer model.

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Where Do We Get Our Data? A Tour of Data Sources (with Examples)

KDnuggets

Check out these data sources that you may not have known about previously.

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Building a voice interface for generative AI assistants

Flipboard

Generative AI is revolutionizing how businesses interact with their customers through natural conversational interfaces. While organizations can implement AI assistants across various channels, phone calls remain a preferred method for many customers seeking support or information.

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A Sneaky Phish Just Grabbed My Mailchimp Mailing List

Hacker News

You know when you're really jet lagged and really tired and the cogs in your head are just moving that little bit too slow?

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Torsten Hoefler Wins ACM Prize in Computing for Contributions to AI and HPC

insideBIGDATA

ACM, the Association for Computing Machinery, today named Torsten Hoefler, a professor at ETH Zurich, the recipient of the ACM Prize in Computing for fundamental contributions to high-performance computing and the ongoing AI revolution.

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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 Reach $500K on Upwork

KDnuggets

Check out the story of a Reddit user who has achieved success by following 7 simple rules.

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Mythbuster: Here’s what ‘agentic’ AI actually means for advertisers, agencies and publishers

Flipboard

Forget chatbots and prompt engineering agentic is the latest AI buzzword to captivate and confuse marketers and media execs. In recent months, tech firms like OpenAI have emphasized AI agents and agentic applications of the technology in their mission to popularize generative AI adoption. The latest development comes courtesy of Adobe, which unveiled several AI agent tools last week at its Summit conference in Las Vegas , including a foundation agentic platform and 10 off-the-shelf AI agents.

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X’s director of engineering, Haofei Wang, has left the company

Hacker News

Xs shifting engineering leadership is still working to transform it into an everything app.

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Join The Data Movement Movement

Adrian Bridgwater for Forbes

Moving data is risky because data in transport mustn't end up in the wrong place & shouldn't be sent to machine entities that dont have access policy rights.

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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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Land Your Dream Machine Learning Job in 2025

KDnuggets

In this article, I will go through 5 pointers on how to help you secure your dream job.

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Bubble Trouble

Flipboard

An AI bubble threatens Silicon Valley, and all of us. This article appears in the April 2025 issue of The American Prospect magazine. Subscribe here.

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Samsung CEO Jong-hee Han has died

Hacker News

One of Samsung's CEOs, Jong-hee Han, has died due to a heart attack.

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10 Must-Know Python Libraries for LLMs in 2025

Machine Learning Mastery

In this article, we explore 10 of the Python libraries every developer should know in 2025.

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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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Trae: Adaptive AI Code Editor

KDnuggets

In this article, we will explore Trae, a powerful adaptive AI code editor, its key features, setup process, and tips for maximizing productivity.

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Scary AI-powered swarm robots team up to build cars faster than ever

Flipboard

The automotive industry is undergoing a seismic shift driven by the integration of AI-powered humanoid robots into production lines.

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Did you spot a fish? Press the Fish Doorbell

Hacker News

Did you spot a fish? Press the Fish Doorbell! This alerts our lock operator to let the fish through. The Fish Doorbell is in Utrecht, NL.

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Data Engineering Requires Human+Machine Fusion

Adrian Bridgwater for Forbes

We sit at the point of an extended automation revolution where basic RPA software robots look like legacy relics from a bygone era, before modern AI.

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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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Processing a Directory of CSVs Too Big for Memory with Dask

KDnuggets

Learn how to process the big data in the CSV format.

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OpenAI Is Ready for Hollywood to Accept Its Vision

Flipboard

As the company engages major studios and throws its own short film festival (with Universal, Disney and talent agency execs in attendance), its executives see a future unconstrained by legal or labor guardrails.

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Three Hundred Years Later, a Tool from Isaac Newton Gets an Update

Hacker News

A simple, widely used mathematical technique can finally be applied to boundlessly complex problems.

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A Gentle Introduction to Graph Neural Networks in Python

Machine Learning Mastery

Graph neural networks (GNNs) can be pictured as a special class of neural network models where data are structured as graphs — both training data used to train the model and real-world data used for inference — rather than fixed-size vectors or grids like image, sequences, or instances of tabular data.

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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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Building an Automatic Speech Recognition System with PyTorch & Hugging Face

KDnuggets

Check out this step-by-step guide to building a speech-to-text system with PyTorch & Hugging Face.

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Why the world is looking to ditch US AI models

Flipboard

Content moderation systems are being abandoned and defunded, leaving many countries looking for alternatives.

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Chatbots could spark the next big mental health crisis

Hacker News

New research from OpenAI shows that heavy chatbot usage is correlated with loneliness and reduced socialization. Will AI companies learn from social networks' mistakes?

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What is Adaptive Machine Learning and How Does It Work?

Pickl AI

Summary: Adaptive Machine Learning is a cutting-edge technology that allows systems to learn and adapt in real-time by processing new data continuously. Unlike traditional models, it provides more accurate predictions and insights, making it ideal for dynamic environments. This adaptability enhances decision-making across various sectors, including finance, healthcare, and e-commerce.

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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.