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Generative AI research is rapidly transforming the landscape of artificial intelligence, driving innovation in large language models, AI agents, and multimodal systems. Staying current with the latest breakthroughs is essential for data scientists, AI engineers, and researchers who want to leverage the full potential of generative AI. In this comprehensive roundup, we highlight this week’s top 4 research papers in generative AI research, each representing a significant leap in technical sophist
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Python Statistics Tools That Data Scientists Actually Use in 2025 Check out these tools for basic math, statistical experiments, advanced statistics, data science, visualizations, and machine learning.
Author(s): Lorentz Yeung Originally published on Towards AI. OpenAI’s GPT-4 Mini as a benchmark for this project. Photo by Growtika on Unsplash In the rapidly evolving world of AI, transforming natural language questions into executable SQL queries — known as text-to-SQL — has become a game-changer for data analysis. Imagine asking your database, “How many customers placed orders last quarter, grouped by region and ordered by compounded growth rate?
Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
Multi-Tool Orchestration with Retrieval-Augmented Generation (RAG) is about creating intelligent workflows that employ large language models (LLMs) with tools, including web search engines or vector databases, to respond to queries. By doing so, the LLM will automatically and dynamically select which tool to use for each query. For example, the web search tool will open […] The post RAG for Multi-Tool Integration and Smart Workflows appeared first on Analytics Vidhya.
A prompt-injection vulnerability in Google Gemini for Workspace was disclosed, enabling the generation of seemingly legitimate email summaries that can direct users to phishing sites via hidden instructions. This method circumvents traditional detection by avoiding attachments or direct links. This attack vector utilizes indirect prompt injections embedded within an email, which Gemini’s summary generation process then obeys.
A prompt-injection vulnerability in Google Gemini for Workspace was disclosed, enabling the generation of seemingly legitimate email summaries that can direct users to phishing sites via hidden instructions. This method circumvents traditional detection by avoiding attachments or direct links. This attack vector utilizes indirect prompt injections embedded within an email, which Gemini’s summary generation process then obeys.
Home Table of Contents People Tracker with YOLOv12 and Centroid Tracker Introduction Why People Tracker Monitoring Matters How YOLOv12 Enables Real-Time Applications Configuring Your Development Environment Downloading the Input Video Install gdown Download the Video Visualizing the Inference and Tracking Pipeline High-Level Overview Detailed Tracker Breakdown Implementing the Centroid Tracker Class Initialization Register and Deregister Update Logic (Matching, Registering, Deregistering) Centro
So, first things first, what is Agentic AI ? Well, to be frank, it’s AI that can set goals, plan actions, and operate autonomously. Because of this seemly 24/7 operator model, it is dominating tech conversations in 2025. As Gartner predicts , by 2029, 80 % of customer-service issues will be handled without human hand‑holding. For data scientists and ML engineers, understanding emerging agentic‑AI trends is critical to staying at the cutting edge.
It’s Bastille Day 🇫🇷🇫🇷🇫🇷 So, how about some revolutionary action? In this video (my first ever on Windows!), we transform an MSI Prestige 13+ Evo laptop running Windows 11 into a local AI powerhouse, running cutting-edge language models like Llama-3.1-SuperNova-Lite (8B) with very good performance and efficiency. Intel’s Lunar Lake architecture brings together CPU, GPU, and the revolutionary NPU (Neural Processing Unit) in perfect harmony.
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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LLMs (Large Language Models) are everywhere! From powering chatbots, digital assistants, and fraud detection to medical diagnosis, they’ve taken over the world by storm. The developments in the domain have progressed to the point where an LLM can operate with any type or form of data. This gave rise to specialist LLMs or models that […] The post 2025’s Most Talked-About LLMs: Top 5 Leaders Across Every Modality appeared first on Analytics Vidhya.
Joseph Ours leads the AI Strategy Practice at Centric Consulting. The AI industry is obsessed with scale—bigger models, more parameters, higher costs—the assumption being that more always equals better.
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.
We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through an exploration of the latest in AI and data science at ODSC West 2025 this October 28th-30th! These luminaries come from the companies and institutions at the forefront of innovation. Discover what they will be presenting at ODSC West below.
TORONTO & LONDON– Moonvalley, an AI research company building foundational AI video models and tools trained on licensed content, announced it has raised $84 million in additional funding led by existing investor General Catalyst. The round includes investments from leading entertainment and sports agency Creative Artists Agency (CAA), AI cloud CoreWeave, and Comcast Ventures.
LLMs (Large Language Models) are everywhere! From powering chatbots, digital assistants, and fraud detection to medical diagnosis, they’ve taken over the world by storm. The developments in the domain have progressed to the point where an LLM can operate with any type or form of data. This gave rise to specialist LLMs or models that […] The post 2025’s Most Talked-About LLMs: Top 5 Leaders Across Every Modality appeared first on Analytics Vidhya.
This month’s column was inspired by The Materialists — a film about modern dating for the wealthy. It’s part movie review and part deliberation on this month’s question … How does data dehumanize? I’ve previously written about love in a time of big data and the many ways algorithmically driven dating apps can be biased. […] The post Ask a Data Ethicist: How Does Data Dehumanize?
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.
Google recently thwarted OpenAI’s potential $3 billion acquisition of AI startup Windsurf by instead hiring key personnel and licensing its technology, a tactic observers term a “non-acquisition acquisition” or “acqui-hire.” This occurred on July 11, with Google reportedly paying $2.4 billion to secure top Windsurf employees, including its CEO, and obtain a non-exclusive license for its technology, according to Bloomberg.
Sandeep Jha is an award-winning AI expert and Principal Staff / Director TPM at LinkedIn, where he drives the company’s GenAI strategy. AI is evolving at an unprecedented pace, yet most organizations struggle to turn research breakthroughs into scalable, production-ready systems.
CNN — When Elon Musk’s Grok AI chatbot began spewing out antisemitic responses to several queries on X last week, some users were shocked. But AI researchers were not.
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
Meta has acquired Play AI , a startup specializing in the generation of human-sounding artificial intelligence voices, as confirmed by a Meta spokesperson to Bloomberg. An internal memo indicated the entire Play AI team will integrate into Meta next week. The memo reportedly highlighted Play AI’s capabilities, stating its “work in creating natural voices, along with a platform for easy voice creation, is a great match for our work and road map.” This integration is expected to
The average U.S. worker’s salary hovers at $62,000. That’s barely enough to survive. But AI-powered freelancers are using technology to work smarter and double their income, even in less than a year.
Risk estimates change by statistical model and what that model accounts for. The above map, by Connie Hanzhang Jin for NPR, shows FEMA estimates (orange and yellow lines) against estimates from risk modeling company First Street (blue gradient fill) for the flooded area at Camp Mystic. More buildings fall into range for the latter. Unfortunately, the discrepancy between FEMA estimates and more updated models that consider rainfall and flash flooding is not new.
Elon Musk’s AI company, xAI, issued a formal apology on Saturday after its chatbot Grok generated antisemitic and violent responses. The company blamed a system update that was live for 16 hours and caused the bot to pull content directly from existing posts on X, including those containing extremist views. The update led Grok to praise Adolf Hitler, repeat conspiracy theories, and spread antisemitic tropes and white nationalist talking points. xAI said the update caused Grok to mirror the tone
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.
The race for AI supremacy is intrinsically linked to energy production capabilities. If the US wants to win the AI race, it will have to embrace nuclear in a big way.
I follow several data visualization experts on social media. Sometimes, I see a graph that I struggle to interpret. When that happens, I ask myself whether there is a simpler and more effective way to visualize the data. Recently, I saw an example of using a "horizon plot" to visualize [.] The post Use a lasagna plot to visualize US gas prices appeared first on SAS Blogs.
It's official: After weeks of speculation and media discussion, CoreWeave (NASDAQ: CRWV), the AI hyperscale, and Core Scientific (NASDAQ: CORZ), a data center infrastructure provider, today announced they have signed a definitive agreement under which CoreWeave will acquire Core Scientific in an all-stock transaction valued at $9 billion.
A new study reveals ChatGPT is subtly changing the way we speak. Here’s what that means for how we write, text, and talk — here's what users need to know.
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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