Mon.Mar 17, 2025

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Why RAG Systems Fail and How to Fix Them

Analytics Vidhya

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge, making responses more informative and context-aware. However, RAG fails in many scenarios, affecting its ability to generate accurate and relevant outputs. These issues in RAG systems impact applications in various domains, from customer support to research and content generation.

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Chaos in Cloudflare’s Lisbon office: securing the Internet with wave motion

Hacker News

Over the years, Cloudflare has gained fame for many things, including our technical blog, but also as a tech company securing the Internet using lava lamps , a story that began as a research/science project almost 10 years ago. In March 2025, we added another layer to its legacy: a "wall of entropy" made of 50 wave machines in constant motion at our Lisbon office, the company's European HQ.

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Enhancing Code Quality with LangGraph Reflection

Analytics Vidhya

The LangGraph Reflection Framework is a type of agentic framework which offers a powerful way to improve language model outputs through an iterative critique process using Generative AI. This article breaks down how to implement a reflection agent that validates Python code using Pyright and improves its quality using GPT-4o mini. AI agents play a crucial role […] The post Enhancing Code Quality with LangGraph Reflection appeared first on Analytics Vidhya.

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Deep Learning Is Not So Mysterious or Different

Hacker News

Deep neural networks are often seen as different from other model classes by defying conventional notions of generalization. Popular examples of anomalous generalization behaviour include benign overfitting, double descent, and the success of overparametrization. We argue that these phenomena are not distinct to neural networks, or particularly mysterious.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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A Gentle Introduction to Transformers Library

Machine Learning Mastery

Transformers is an architecture of machine learning models that uses the attention mechanism to process data. Many models are based on this architecture, like GPT, BERT, T5, and Llama. A lot of these models are similar to each other.

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Darker Than a Dark Pool? Welcome to Wall Street's 'Private Rooms'

Hacker News

(Bloomberg) -- Wall Streets infamous dark pools are getting even darker.

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Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights

AWS Machine Learning Blog

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information they were trained on, which becomes problematic when dealing with dynamic and constantly evolving domains like healthcare.

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Apple says update your iPhones ASAP to block exploits

Dataconomy

Apple has urged its users to update their devices immediately to avoid a potential cyberattack exploiting a critical security flaw. The warning affects billions of iPhone users and highlights a major vulnerability in Apple’s software. The company identified a zero-day vulnerability in WebKit, the browser engine used by Safari and all other internet browsers on iPhones and iPads.

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6 Insights from Andrew Ng on Why Coding is More Important than EVER

Analytics Vidhya

Is learning to code still relevant in an age dominated by AI and automation? Andrew Ng strongly believes that learning to code is more important now than ever. As machines become more central to daily life, the ability to communicate with them through code becomes ever more crucial. Ng compares coding to literacy, emphasizing that […] The post 6 Insights from Andrew Ng on Why Coding is More Important than EVER appeared first on Analytics Vidhya.

Analytics 123
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EU tech firms demand EuroStack to cut reliance on U.S. & China

Dataconomy

A broad coalition from the European tech industry is pressing for “radical action” to reduce reliance on foreign digital infrastructure, urging EU lawmakers to support local innovation for economic resilience and security. In an open letter to European Commission President Ursula von der Leyen and the EUs digital chief Henna Virkkunen, over 80 organizations advocated for policies that prioritize homegrown alternatives across various tech sectors.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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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Building a Custom Website Chatbot Using Qwen-2.5-32b, LangChain, and FAISS

Analytics Vidhya

In todays digital world, businesses and individuals aim to provide instant and accurate answers to website visitors. With increased demand for seamless communication, AI-driven chatbots have become a crucial tool for user interaction and offering useful information in a split second. Chatbots can search, comprehend, and utilize website data efficiently, making customers satisfied and enhancing […] The post Building a Custom Website Chatbot Using Qwen-2.5-32b, LangChain, and FAISS appeared

Analytics 123
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Gamification 2.0: How AI knows what keeps you engaged

Dataconomy

Gamificationthe strategic use of game mechanics in non-gaming environmentshas long been touted as a way to drive engagement, from education and corporate training to healthcare and retail. But gamification, like any system, is only as effective as its adaptability. In Integrating LLMs in Gamified Systems , Carlos J. Costa proposes a mathematical framework that integrates LLMs into gamified environments, aiming to enhance user engagement, task difficulty adjustment, and reward systems.

AI 113
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Getting Started with Python and FastAPI: A Complete Beginner’s Guide

Flipboard

Home Table of Contents Getting Started with Python and FastAPI: A Complete Beginner’s Guide Introduction to FastAPI Python What Is FastAPI? Core Features Key Benefits of FastAPI High Performance Reduced Development Time Fewer Bugs Scalability Ease of Use Setting Up FastAPI Installing FastAPI and Uvicorn Run the Installation Command What This Does Verify the Installation Running a Basic Server Why Do You Need FastAPI Uvicorn?

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Prompt engineering

Dataconomy

Prompt engineering is an exciting frontier in artificial intelligence that directly influences how effectively large language models (LLMs) generate text. The way prompts are crafted can mean the difference between mediocre and remarkable outputs, making it a fundamental skill for anyone working with generative AI. This rapidly evolving technique allows users to tap into the full potential of AI technologies, refining and guiding responses to suit their needs.

AI 113
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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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Comparison of Gemini Embedding with Multilingual-e5-large & Jina

Analytics Vidhya

Word embeddings for Indic languages like Hindi are crucial for advancing Natural Language Processing (NLP) tasks such as machine translation, question answering, and information retrieval. These embeddings capture semantic properties of words, enabling more accurate and context-aware NLP applications. Given the vast number of Hindi speakers and the growing digital content in Indic languages, high-quality […] The post Comparison of Gemini Embedding with Multilingual-e5-large & Jina appe

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Overfitting in machine learning

Dataconomy

Overfitting in machine learning is a common challenge that can significantly impact a model’s performance. It occurs when a model becomes too tailored to the training data, resulting in its inability to generalize effectively to new, unseen datasets. Exploring this phenomenon reveals valuable insights into the complexities of model behavior and the importance of maintaining a balance between complexity and simplicity.

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Testing citation skills and overconfidence of AI chatbots

FlowingData

When you enter a query in traditional search engines, you get a list of results. They are possible answers to your question, and you decide what resources you want to trust. On the other hand, when you query via AI chatbot, you get a limited number of answers, as a sentence, that appear confident in the context. For Columbia Journalism Review, Klaudia Jawiska and Aisvarya Chandrasekar tested this accuracy and confidence by using several chatbots to cite articles : Overall, the chatbots often fai

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Responsible AI

Dataconomy

Responsible AI has emerged as a vital topic in the development of artificial intelligence technologies, reflecting the growing awareness of the ethical implications of AI systems. As AI systems become integral in areas like healthcare, finance, and public safety, the need for a framework that ensures their fairness, accountability, and ethical use has never been more critical.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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Projections for NCAA basketball tournament, winning chances for each team

FlowingData

Leading up to the NCAA Men’s basketball tournament, the Athletic has a bracket with projections expressed as win probabilities in each round. Surprise, Duke is heavily favored to win, which can only mean everyone’s brackets will be ruined early. On methodology: We create an offensive and defensive projection for every college basketball team using various box score metrics.

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Baidu just made AI cheaper: Ernie 4.5 costs 1% of GPT-4.5

Dataconomy

Chinese tech giant Baidu has launched two new AI models, Ernie X1 and Ernie 4.5, claiming their performance rivals that of competitors OpenAI and DeepSeek while offering lower costs. The announcement was made on Saturday, ahead of a previously planned release. Baidus new AI models challenge OpenAI and DeepSeek Ernie X1 is described as a reasoning model that delivers performance on par with DeepSeek R1 at half the cost.

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STAT+: New Stanford tool evaluates AI models on tasks that actually matter in health care

Flipboard

Harvard Medical School professor Isaac Kohane remembers being asked, when he was a trainee doctor, to diagnose a child with low blood sugar in the intensive care unit. He delivered a beautifully comprehensive list of everything it could possibly be, he recalled — “Mwah!” Then his attending asked him a simple question: “When were the IVs switched?

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How AI is changing the way we operate in logistics

Dataconomy

The transportation and logistics industry has always been a balancing act keeping deliveries on time, managing costs, and making operations as smooth as possible. Now, artificial intelligence (AI) comes in to make things easier, smarter, and smoother business-wise. From building a GPS tracking app to investing in operational tracking, the technology serves as a game-changer in transportation workflows.

AI 103
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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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Wall of receipts is wall of inconsistent records

FlowingData

The “Department of Government Efficiency” keeps a “Wall of Receipts” to signal transparency in how they are “saving” money. However, it’s difficult to take it seriously when the data keeps changing, disappearing, and reappearing. Ethan Singer and Emily Badger, for NYT’s the Upshot, go with the clustered bubbles to show the edits since Feburary 16, 2025.

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Cohere’s 111B-parameter AI model can run on just two GPUs

Dataconomy

Cohere has released Command A, a high-performance AI model featuring 111 billion parameters, a 256K context length, and support for 23 languages, on March 16, 2025. The model is designed for enterprise applications, promising a 50% reduction in operational costs compared to existing API-based models. Meet Cohere Command A Command A addresses the significant challenges posed by training and deploying large-scale AI models that often require extensive computational resources.

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Build Your First Python Extension for VS Code in 7 Easy Steps

KDnuggets

Do you want to create custom extensions for VS Code? Follow this guide to build, test, and publish your own extension in no time!

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Gemini can erase watermarks and that’s a big problem

Dataconomy

Users on social media have found a controversial application for Googles Gemini AI model, specifically its ability to remove watermarks from images, including those published by Getty Images and other stock media providers. Stock image companies are not going to like this Last week, Google expanded access to its Gemini 2.0 Flash model’s image generation feature, allowing users to natively generate and edit image content.

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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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Automated ‘Pravda’ Propaganda Network Retooled To Embed Pro-Russian Narratives Surreptitiously In Popular Chatbots

Flipboard

Its no secret that Russia has taken advantage of the Internets global reach and low distribution costs to flood the online world with huge quantities of propaganda (as have other nations): Techdirt has been writing about Putins troll army for a decade now.

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Singularity in technology

Dataconomy

The singularity in technology is often viewed as a pivotal moment when artificial intelligence and other technological advancements accelerate beyond human control. This concept captures the imagination of technologists and futurists alike, igniting discussions about the future of humanity. As we confront rapid technological developments, understanding the singularity becomes crucial for adapting to inevitable changes.

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Harvard says tuition will be free for families making $200K or less

Hacker News

The expansion will enable approximately 86% of U.S. families to qualify for Harvard Colleges financial aid, the college said.

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Why Nvidia’s GTC 2025 will dominate this week’s AI headlines

Dataconomy

All eyes will be on Nvidias GPU Technology Conference ( GTC ) this week, scheduled for March 18, where CEO Jensen Huang will unveil the next generation of artificial intelligence chips, including the Blackwell Ultra AI chip and Vera Rubin platform, as well as discuss future products. During the fiscal fourth quarter earnings call, Huang stated that Nvidia has some really exciting things to share at GTC, particularly regarding enterprise and agentic AI, reasoning models, and robotics.

AI 103
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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.