Trending Articles

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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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@HPCpodcast: Dr. Ian Cutress on the State of Advanced Chips, the GPU Landscape and AI Compute, Global Chip Manufacturing and GTC Expectations

insideBIGDATA

[link] Just before GTC (and for the 100th episode of the @HPCpodcast and this one sponsored by liquid cooling company CoolIT), we welcome special guest and high-powered chip industry analyst Dr.

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Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models

Machine Learning Research at Apple

Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of unlabeled speech data and then used for a range of downstream tasks. These models use a masked prediction objective, where the model learns to predict information about masked input segments from the unmasked context. The choice of prediction targets in this framework impacts their performance on downstream tasks.

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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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Inching towards AGI: How reasoning and deep research are expanding AI from statistical prediction to structured problem-solving

Flipboard

GUEST: AI has evolved at an astonishing pace. What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence.

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Palantir and Databricks Announce AI Product Partnership

insideBIGDATA

SAN FRANCISCO,March 13, 2025 —DatabricksandPalantir Technologies Inc.(NASDAQ:PLTR), provider of enterprise operating systems, today announced a strategic product partnership that combines Palantir’s AI operating system and Databricks’ platform for AI, data warehousing and data engineering.

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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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Nvidia announces “Rubin Ultra” and “Feynman” AI chips for 2027 and 2028

Flipboard

On Tuesday at Nvidia's GTC 2025 conference in San Jose, California, CEO Jensen Huang revealed several new AI-accelerating GPUs the company plans to release over the coming months and years. He also revealed more specifications about previously announced chips. The centerpiece announcement was Vera Rubin, first teased at Computex 2024 and now scheduled for release in the second half of 2026.

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Statistical Methods for Evaluating LLM Performance

Machine Learning Mastery

In this article, we explore statistical methods for evaluating LLM performance, an essential step to guarantee stability and effectiveness.

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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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Suse Champions Freedom Of Choice In Cloud Infrastructure Stack

Adrian Bridgwater for Forbes

Suse offers an end-to-end tech infrastructure stack that goes from the operating system kernel, through network & management layers all the way to the application.

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New Tools for Building AI Agents: OpenAI Agent SDK, Response API and More

Analytics Vidhya

In a significant step toward empowering developers and enterprises to create more reliable and capable AI agents, OpenAI released the Agent SDK on March 11, 2025, alongside a suite of impactful API updates. This release introduces several powerful tools designed to enhance AI-driven applications, including the Responses API, built-in tools, OpenAI Agents SDK, and observability […] The post New Tools for Building AI Agents: OpenAI Agent SDK, Response API and More appeared first on Analytics

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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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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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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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Mastering Time Series Forecasting: From ARIMA to LSTM

Machine Learning Mastery

Time series forecasting is a statistical technique used to analyze historical data points and predict future values based on temporal patterns.

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Pushing the Boundaries of AI-based Lossy Compression

IBM Data Science in Practice

A CVPR EARTHVISION Data Challenge by Embed2Scale Modern compression methods redefine the way we handle and analyze satellite imagery. In this article, we introduce the 2025 CVPR EARTHVISION Data Challenge an initiative by the Horizon Europe Embed2Scale consortium to advance neural compression for Earth Observation data. EvalAI Challenge portal , accessible via: [link] Background: Neural Compression for Earth Observation For a comprehensive review of the topic, please read our latest publicatio

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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.

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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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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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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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Introducing Enhanced Agent Evaluation

databricks

Earlier this week, we announced new agent development capabilities on Databricks. After speaking with hundreds of customers, we've noticed two common challenges to advancing beyond.

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How to Secure Docker Containers with Best Practices

KDnuggets

Learn how to protect your Docker containers from vulnerabilities and security threats by following these best practices.

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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 125
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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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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.

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AI vehicle counters to provide better input on upper valley traffic flows

Flipboard

Each counter has a camera, operating 24/7, that captures both directions of traffic and an AI-processing unit that translates the video into data. This system is capable of counting the number of vehicles passing by and can distinguish vehicle types based on the Federal Highway Administration's 13 vehicle category classifications.

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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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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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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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How to Use OpenAI’s Responses API & Agent SDK?

Analytics Vidhya

OpenAI has been a leading solutions provider in the GenAI space. From the legendary ChatGPT to Sora, it is a go-to platform for all the working professionals out there. With Qwen and Claude gaining popularity among developers, OpenAI is back again with its latest updates, empowering developers to create more reliable and capable AI agents. […] The post How to Use OpenAIs Responses API & Agent SDK?

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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.

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Do I Need to Learn MicroPython as a Data Scientist?

KDnuggets

A simple guide that tells you what you need to know about MicroPython and why you should use it as a Data Scientist

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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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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.