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10 Agentic AI Key Concepts Explained

KDnuggets

Explore 10 agentic AI terms and concepts that are key to understanding the latest AI paradigm everyone wants to talk about — but not everyone clearly understands.

AI
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Quantum theory

Dataconomy

Quantum theory is a fascinating area of study that reshapes our understanding of the universe at the smallest scales. It reveals a world where particles can exist in multiple states simultaneously, where measurement affects outcomes, and where classical physics no longer holds sway. This intricate theory underpins various advanced technologies, hinting at potential breakthroughs in computing and cryptography.

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Hierarchical Reasoning Model: Discover the Brain-Inspired AI That Thinks Like Us

Data Science Dojo

The hierarchical reasoning model is revolutionizing how artificial intelligence (AI) systems approach complex problem-solving. At the very beginning of this post, let’s clarify: the hierarchical reasoning model is a brain-inspired architecture that enables AI to break down and solve intricate tasks by leveraging multi-level reasoning, adaptive computation, and deep latent processing.

AI
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AI-Powered Feature Engineering with n8n: Scaling Data Science Intelligence

KDnuggets

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 AI-Powered Feature Engineering with n8n: Scaling Data Science Intelligence Generate strategic feature engineering recommendations using AI-powered workflows in n8n.

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

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.

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50+ Must-Know Machine Learning Terms You (Probably) Haven’t Heard Of

Analytics Vidhya

One of the fastest-growing areas of technology is machine learning, but even seasoned professionals occasionally stumble over new terms and jargon. It is simple to get overwhelmed by the plethora of technical terms as research speeds up and new architectures, loss functions, and optimisation techniques appear. This blog article is your carefully chosen reference to […] The post 50+ Must-Know Machine Learning Terms You (Probably) Haven’t Heard Of appeared first on Analytics Vidhya.

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How attention sinks keep language models stable

Hacker News

About Song Han News Publications Blog Course Awards Talks Media Team Gallery Efficient AI Computing, Transforming the Future. How Attention Sinks Keep Language Models Stable Guangxuan Xiao August 7, 2025 TL;DR We discovered why language models catastrophically fail on long conversations: when old tokens are removed to save memory, models produce complete gibberish.

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DataOps in Data Science: The Secret Sauce for High-Performing Teams in 2025

Pickl AI

Summary: Adopting DataOps transforms data science practices by automating workflows, ensuring higher data quality, and fostering collaboration among teams. This approach enhances efficiency, scales operations easily, and proactively reduces risks through early error detection and robust governance. Organizations benefit from accelerated insights, improved reliability, and optimized use of data resources.

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Top 10 Collections of Cheat Sheets on GitHub

KDnuggets

Discover a comprehensive collection of cheat sheets covering Docker commands, mathematics, Python, machine learning, data science, data visualization, CLI commands, and more.

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10 Python Libraries Every MLOps Engineer Should Know

Flipboard

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 10 Python Libraries Every MLOps Engineer Should Know Learn about 10 essential Python libraries that support core MLOps tasks like versioning, deployment, and monitoring.

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Achieving 10,000x training data reduction with high-fidelity labels

Hacker News

Jump to Content Research Research Who we are Back to Who we are menu Defining the technology of today and tomorrow. Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more Philosophy People Our researchers drive advancements in computer science through both fundamental and applied research.

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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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Agent Learning from Human Feedback (ALHF): A Databricks Knowledge Assistant Case Study

databricks

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

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Graph RAG vs RAG: Which One Is Truly Smarter for AI Retrieval?

Data Science Dojo

Graph rag is rapidly emerging as the gold standard for context-aware AI, transforming how large language models (LLMs) interact with knowledge. In this comprehensive guide, we’ll explore the technical foundations, architectures, use cases, and best practices of graph rag versus traditional RAG, helping you understand which approach is best for your enterprise AI, research, or product development needs.

AI
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The Importance of Visualization in Data Storytelling

KDnuggets

This article introduces and discusses four key reasons why data visualization is essential in data storytelling: simplifying complex information, discovering hidden patterns, fostering engagement and impact, and supporting informed decisions.

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Five ways that AI is learning to improve itself

Flipboard

Skip to Content MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe Artificial intelligence Five ways that AI is learning to improve itself From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important trend in AI today.

AI
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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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Bit (binary digit)

Dataconomy

A bit, or binary digit, serves as the cornerstone of digital technology, representing the basic elements that form every piece of data within a computer. Understanding bits allows us to grasp how vast volumes of information are processed and stored. From simple representation of numbers to complex operations in encryption, bits play an indispensable role in various computing fields.

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7x Faster Medical Image Ingestion with Python Data Source API

databricks

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

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GPT OSS: OpenAI’s Long-Awaited Leap Into the Open-Weight Revolution

Data Science Dojo

GPT OSS is OpenAI’ s latest leap in democratizing artificial intelligence, offering open-weigh t large language models (LLMs) that anyone can download, run, and fine-tune on their own hardware. Unlike proprietary models locked behind APIs, gpt oss models — gpt-oss-120b and gpt-oss-20b —are designed for transparency, customization, and local inference, marking a pivotal shift in the AI landscape.

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Getting The Most From The LangChain Ecosystem

KDnuggets

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 Getting The Most From The LangChain Ecosystem Learn how to use the LangChain ecosystem to build, test, deploy, monitor, and visualize complex agentic workflows.

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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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5 Routine Tasks That ChatGPT Can Handle for Data Scientists

Flipboard

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 5 Routine Tasks That ChatGPT Can Handle for Data Scientists A practical walkthrough of how ChatGPT handles cleaning, exploration, visualization, modeling and more.

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Time-Series Transformation Toolkit: Feature Engineering for Predictive Analytics

Machine Learning Mastery

In time series analysis and forecasting , transforming data is often necessary to uncover underlying patterns, stabilize properties like variance, and improve the performance of predictive models.

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OpenAI launches open-source 12B and 20B GPT-OSS reasoning models

Dataconomy

OpenAI has released GPT-OSS 12B and 20B, open-source AI models that enable local operation on personal computers. This development offers enhanced privacy and control. OpenAI’s GPT-OSS 12B and GPT-OSS 20B are reasoning models. They facilitate advanced AI capabilities on local systems, enhancing privacy, speed, and user control. GPT-OSS 20B is optimized for high-end consumer hardware, while GPT-OSS 12B is for professional-grade systems with more powerful GPUs.

AI
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Adaptive Knowledge Distillation for Device-Directed Speech Detection

Machine Learning Research at Apple

Device-directed speech detection (DDSD) is a binary classification task that separates the user’s queries to a voice assistant (VA) from background speech or side conversations. This is important for achieving naturalistic user experience. To this end, we propose knowledge distillation (KD) to enhance DDSD accuracy while ensuring efficient deployment.

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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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How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus

Flipboard

Publish AI, ML & data-science insights to a global community of data professionals. Sign in Sign out Submit an Article Latest Editor’s Picks Deep Dives Newsletter Write For TDS Toggle Mobile Navigation LinkedIn X Toggle Search Search Artificial Intelligence How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus Welcome to the 21st century by the hand of large language models and reasoning AI agents Luciano Abriata Aug 5, 2025 10 min read Share A human user

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Hopfield Networks Is All You Need (2020)

Hacker News

We introduce a modern Hopfield network with continuous states and a corresponding update rule. The new Hopfield network can store exponentially (with the dimension of the associative space) many patterns, retrieves the pattern with one update, and has exponentially small retrieval errors. It has three types of energy minima (fixed points of the update): (1) global fixed point averaging over all patterns, (2) metastable states averaging over a subset of patterns, and (3) fixed points which store

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Wiz finds exploit chain in Nvidia AI inference software

Dataconomy

Nvidia released a software update on Saturday to address critical vulnerabilities in its Triton server, identified by cybersecurity firm Wiz , which could enable AI model takeover, data theft, and response manipulation. The vulnerabilities, deemed “critical” by Wiz, pertain to Nvidia’s Triton server, employed by clients to execute artificial intelligence models.

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Building Resilient Data Systems: Key Lessons from Veronika Durgin

ODSC - Open Data Science

In the world of data engineering, the most impactful work is often the least glamorous. At ODSC East, Veronika Durgin, VP of Data at Saks, struck a chord with her talk on the “10 Most Neglected Data Engineering Tasks.” Drawing from decades of experience in data architecture, engineering, and analytics, she emphasized the foundational practices that keep pipelines stable, teams agile, and businesses prepared for rapid technological change.

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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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Agentic AI Hands-On in Python: A Video Tutorial

KDnuggets

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 Agentic AI Hands-On in Python: A Video Tutorial Introducing a four-hour video workshop on agentic AI engineering from Jon Krohn and Edward Donner.

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A service-oriented microservice framework for differential privacy-based protection in industrial IoT smart applications

Flipboard

The rapid advancement of key technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and edge-cloud computing has significantly accelerated the transformation toward smart industries across various domains, including finance, manufacturing, and healthcare. Edge and cloud computing offer low-cost, scalable, and on-demand computational resources, enabling service providers to deliver intelligent data analytics and real-time insights to end-users.

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Cursor CLI

Hacker News

Install and use the Cursor command-line interface to run AI coding workflows and automate tasks from your terminal.

AI
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Microsoft’s Project Ire identifies 90% of malicious drivers

Dataconomy

Microsoft has developed Project Ire, an AI prototype that can autonomously reverse engineer software to identify malware, a task typically performed by human security researchers. The prototype can fully reverse engineer software without prior clues about its origin or purpose. In a Microsoft test, Project Ire accurately identified 90% of malicious Windows driver files , flagging only 2% of benign files as dangerous.

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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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10 GitHub Repositories for Mastering Agents and MCPs

KDnuggets

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 10 GitHub Repositories for Mastering Agents and MCPs Learn how to build your own agentic AI application with free tutorials, guides, courses, projects, example code, research papers, and more.