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In artificial intelligence, evaluating the performance of language models presents a unique challenge. Unlike image recognition or numerical predictions, language quality assessment doesn’t yield to simple binary measurements. Enter BLEU (Bilingual Evaluation Understudy), a metric that has become the cornerstone of machine translation evaluation since its introduction by IBM researchers in 2002.
[link] In what is becoming an annual tradition for the @HPCpodcast, we present “Live from Nvidia GTC 2025,” covering highlights from the Nvidia extravaganza with an AI-everywhere theme.
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.
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.
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
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
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.
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.
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.
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.
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.
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?
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.
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.
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!
Digital documents have long presented a dual challenge for both human readers and automated systems: preserving rich structural nuances while converting content into machine-processable formats. Traditional methods, whether relying on complex ensemble pipelines or massive foundational models, often struggle to balance accuracy with computational efficiency.
All My Blog Posts In OnePlace (And its not thisplace.) If youre one of my 178,000 readers here on medium.com, I invite you to join me for a last hurrah before I migrate my articles from this hallowed platform to my newsletter and I offer you something in what might be our mutual love language: a spreadsheet! This spreadsheet. In it, youll find a link to every single medium.com blog post Ive ever published, along with its FriendLink.
We introduce SmolDocling, an ultra-compact vision-language model targeting end-to-end document conversion. Our model comprehensively processes entire pages by generating DocTags, a new universal markup format that captures all page elements in their full context with location. Unlike existing approaches that rely on large foundational models, or ensemble solutions that rely on handcrafted pipelines of multiple specialized models, SmolDocling offers an end-to-end conversion for accurately capturi
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?
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.
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.
Large language models answer questions using the knowledge they learned during training. This fixed knowledge base limits them. They can’t give you current or highly specific information. Retrieval-Augmented Generation (RAG) helps by letting LLMs pull in external data, but even RAG needs help with complex questions. Adaptive RAG offers a solution.
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
This is a collection of (mostly) pen-and-paper exercises in machine learning. The exercises are on the following topics: linear algebra, optimisation, directed graphical models, undirected graphical models, expressive power of graphical models, factor graphs and message passing, inference for hidden Markov models, model-based learning (including ICA and unnormalised models), sampling and Monte-Carlo integration, and variational inference.
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?
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?
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.
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.
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.
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.
IT operations teams face the challenge of providing smooth functioning of critical systems while managing a high volume of incidents filed by end-users. Manual intervention in incident management can be time-consuming and error prone because it relies on repetitive tasks, human judgment, and potential communication gaps. Using generative AI for IT operations offers a transformative solution that helps automate incident detection, diagnosis, and remediation, enhancing operational efficiency.
Youd think predicting dementia death rates or mapping city noise would require teams of experts, ground surveys, and satellite imaging firms. But a new AI modeldeveloped by researchers at Beijing Jiaotong University and the University of Montrealclaims it can do all of that at once, just by looking at maps, tweets, and images. The system is called OmniGeo , and if the research lives up to its promise, it could redefine how we read cities, disasters, and human environments in real time.
Tired of manually sifting through hours of audio to find key insights? This guide teaches you to build an AI-powered chatbot that transforms recordings – meetings, podcasts, interviewsinto interactive conversations. Using AssemblyAI for precise transcription with speaker labels, Qdrant for fast data storage, and DeepSeek-R1 via SambaNova Cloud for smart responses, youll create a RAG […] The post Build an Audio RAG with AssemblyAI, Qdrant & DeepSeek-R1 appeared first on Analytics
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.
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