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You’ve experienced it. That flash of frustration when ChatGPT, despite its incredible power, responds in a way that feels… off. Maybe it’s overly wordy, excessively apologetic, weirdly cheerful, or stubbornly evasive. While we might jokingly call it an “annoying personality,” it’s not personality at all. It’s a complex mix of training data, safety protocols, and the inherent nature of large language models (LLMs).
As we enter 2025, Python web frameworks are becoming more advanced and diverse than ever. They are empowering developers to create everything from simple sites to complex web applications. Finding the best Python framework for web development is key to building efficient and scalable solutions. In this article, well walk through a comprehensive list of […] The post Popular Python Web Frameworks to Use in 2025 appeared first on Analytics Vidhya.
Imagine relying on an LLM-powered chatbot for important information, only to find out later that it gave you a misleading answer. This is exactly what happened with Air Canada when a grieving passenger used its chatbot to inquire about bereavement fares. The chatbot provided inaccurate information, leading to a small claims court case and a fine for the airline.
US ecommerce companies are investing significant capital in AI to improve the customer experience, however, many businesses are yet to realize significant gains. These are the findings of a new survey of senior executives at 300 large and mid-sized e-commerce companies in the US and Europe by content management system (CMS) company Storyblok.
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.
When you’re working on building fair and responsible AI, having a way to actually measure bias in your models is key. This is where Bias Score comes to the picture. For data scientists and AI engineers, it offers a solid framework to spot those hidden prejudices that often slip into language models without notice. The […] The post Bias Score: Evaluating Fairness and Bias in Language Models appeared first on Analytics Vidhya.
Nike is facing a proposed class-action lawsuit from buyers of its non-fungible tokens (NFTs) who claim the company misled them about the digital assets, according to Reuters. The lawsuit, filed in New York’s Eastern District, accuses Nike of causing “the rug to be pulled out from under them” by winding down its virtual shoe project, RTFKT, last year.
On Thursday, OpenAI announced the addition of shopping features to ChatGPT Search. The new feature allows users to search for products and purchase them through merchant websites after being redirected from the ChatGPT interface. Product placement is not sponsored, and the update affects all users, regardless of whether they've signed in to an account.
On Thursday, OpenAI announced the addition of shopping features to ChatGPT Search. The new feature allows users to search for products and purchase them through merchant websites after being redirected from the ChatGPT interface. Product placement is not sponsored, and the update affects all users, regardless of whether they've signed in to an account.
Retrieval-Augmented Generation, or RAG, has been hailed as a way to make large language models more reliable by grounding their answers in real documents. The logic sounds airtight: give a model curated knowledge to pull from instead of relying solely on its own parameters, and you reduce hallucinations, misinformation, and risky outputs. But a new study suggests that the opposite might be happening.
Backblaze is dismissing allegations from a short seller that it engaged in sham accounting that could put the cloud storage and backup solution provider and its customers' backups in jeopardy. On April 24, Morpheus Research posted a lengthy report accusing the San Mateo, California-based firm of practicing sham accounting and brazen insider dumping.
AI agents are quickly becoming an integral part of customer workflows across industries by automating complex tasks, enhancing decision-making, and streamlining operations. However, the adoption of AI agents in production systems requires scalable evaluation pipelines. Robust agent evaluation enables you to gauge how well an agent is performing certain actions and gain key insights into them, enhancing AI agent safety, control, trust, transparency, and performance optimization.
QWEN CHAT GitHub Hugging Face ModelScope Kaggle DEMO DISCORD Introduction Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro.
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.
Modern large language models (LLMs) excel in language processing but are limited by their static training data. However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. This has led to the evolution and rapid rise of agentic workflows, where AI systems autonomously plan, execute, and refine tasks.
For streaming services such as Netflix, Digital Rights Management (DRM) systems provide a level of control over the company’s most valuable assets, including movies, TV shows, and other content for consumer consumption. DRM not only restricts access to customers authorized to consume content, it can determine when and how it’s consumed too.
The AI Center of Excellence (AI CoE) plays a pivotal role in helping organizations harness the full potential of AI technology effectively. By centralizing expertise and resources, it acts as a catalyst for innovation, driving AI adoption across various departments. What is an AI Center of Excellence (AI CoE)? An AI Center of Excellence (AI CoE) is a dedicated team or entity within an organization that focuses on developing and implementing AI strategies.
Relational Graph Transformers represent the next evolution in Relational Deep Learning, allowing AI systems to seamlessly navigate and learn from data spread across multiple tables. By treating relational databases as the rich, interconnected graphs they inherently are, these models eliminate the need for extensive feature engineering and complex data pipelines that have traditionally slowed AI adoption.
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
Transformers have recently emerged as a powerful tool for learning visual representations. In this paper, we identify and characterize artifacts in feature maps of both supervised and self-supervised ViT networks. The artifacts correspond to high-norm tokens appearing during inference primarily in low-informative background areas of images, that are repurposed for internal computations.
Lightrun, an Israeli startup that has developed an AI-powered observability platform to identify and debug code in production, has secured $70 million in Series B funding. The round was co-led by Accel and Insight Partners, with participation from Citi, Glilot Capital, GTM Capital, and Sorenson Capital, bringing the total amount raised to $110 million.
iPhone parts are manufactured and assembled by different countries, which makes it tricky to define where an iPhone, the singular product, is made. Financial Times breaks the phone into pieces to show where they come from , which includes China, India, South Korea, and Japan. In the beginning it was about low labour costs companies went to China because it was cheap, says Andy Tsay, professor of information systems at Santa Clara Universitys Leavey Business School.
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.
Grid search is a powerful technique that plays a crucial role in optimizing machine learning models. By systematically exploring a set range of hyperparameters, grid search enables data scientists and machine learning practitioners to significantly enhance the performance of their algorithms. This method not only improves model accuracy but also provides a robust framework for evaluating different parameter combinations.
Home Table of Contents Object Detection in Gaming: Fine-Tuning Google’s PaliGemma 2 for Valorant Configuring Your Development Environment Setup and Imports Load the Valorant Dataset Format Dataset to PaliGemma Format Display Train Image and Label COCO Format BBox to XYXY Format Scale Bounding Box Values Define Conversion Function Define Function to Process Single Dataset Example Apply Formatting Push the PaliGemma-Formatted Dataset to the Hugging Face Hub Perform Inference with the Pre-Tra
PR AUC, or precision-recall area under the curve, is a powerful performance metric used primarily in the realm of binary classification, particularly when dealing with imbalanced datasets. As machine learning models become increasingly prevalent for tasks ranging from fraud detection to medical diagnostics, understanding how to evaluate their effectiveness becomes critical.
Author(s): Syed Affan Originally published on Towards AI. Prerequisites Before diving in, you should have: Basic AI/ML understanding: concepts like language models, embeddings, and model inference. Software engineering skills: familiarity with Python, virtual environments, and package installation. Python libraries: comfort importing and using packages and file I/O.
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
EU smartphone ecodesign 2025 officially lands on 20 June 2025, and the upgrade cycle will never look the same. Brussels has drawn a new red line for every phone and slate tablet that wants to stay on European shelves, and this playbook explains why the rules exist, how they work, and what each stakeholder must do next. Why Brussels pulled the trigger The European Commission expects the EU smartphone ecodesign 2025 package to cut nearly 14 TWh of primary energy every year by 2030, shrink househol
The company is going to be AI-first, says its CEO. Duolingo will gradually stop using contractors to do work that AI can handle, according to an all-hands email sent by co-founder and CEO Luis von Ahn announcing that the company will be AI-first.
alphaMountain AI has launched aM IntelligenceTM, a contextual threat intelligence API designed to enhance threat investigations for cybersecurity analysts, incident responders, and SOC teams. The API provides real-time URL classification and deep domain and IP context, making it a valuable tool for improving security outcomes. The benefits of using aM IntelligenceTM include faster threat investigations with real-time URL classification and high-fidelity threat ratings for newly discovered domain
I'm sick and god-damn tired of this! I have written tens of thousands of words about this and still, to this day, people are babbling about the "AI revolution" as the sky rains blood and crevices open in the Earth, dragging houses and cars and domesticated animals into their maws.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Density-based clustering stands out in the realm of data analysis, offering unique capabilities to identify natural groupings within complex datasets. Unlike traditional clustering methods that may struggle with varied densities and shapes, density-based approaches excel in discovering clusters of any arbitrary shape, making them a powerful tool in machine learning and data science.
According to a recent Financial Times article, brands are targeting AI chatbots as users increasingly switch from traditional Google search, prompting advertising groups and tech start-ups to develop new strategies for “search engine optimisation” Companies such as Profound and Brandtech have created software to monitor brand visibility in AI-powered services like OpenAI’s ChatGPT , Anthropic’s Claude, and Google’s AI Overviews feature.
OpenAI is launching a shopping experience inside of ChatGPT, complete with product picks and buy buttons. WIRED spoke with Adam Fry, the companys search product lead, to ask how it all works.
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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