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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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Inside the Recent Breakthroughs That Validate ML Approaches to Recycling Analytics

ODSC - Open Data Science

Leveraging machine learning (ML) for recycling analytics is no longer a hypothetical or risky investment. Several recent breakthroughs have proven it is effective, suggesting it could become an industry staple. It may lead to innovative developments that reshape how people approach recycling. What can you learn from these early adopters? The Need for More Efficient Recycling Analytics Recycling analytics is complex.

ML
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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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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.

AI
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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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OpenAI’s gpt-oss models arrive on Azure AI Foundry

Dataconomy

Microsoft is integrating OpenAI’s open-weight language models, gpt-oss, into Azure AI Foundry and Windows AI Foundry, broadening its AI toolset. This expansion introduces gpt-oss-120b and gpt-oss-20b models to personal computers. The gpt-oss-120b model is designed for high-performance reasoning applications. Conversely, the gpt-oss-20b model operates on personal computers equipped with graphics processing units possessing a minimum of 16 gigabytes of memory.

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Automate AIOps with SageMaker Unified Studio Projects, Part 2: Technical implementation

AWS Machine Learning Blog

In Part 1 of our series, we established the architectural foundation for an enterprise artificial intelligence and machine learning (AI/ML) configuration with Amazon SageMaker Unified Studio projects. We explored the multi-account structure, project organization, multi-tenancy approaches, and repository strategies needed to create a governed AI development environment.

AWS
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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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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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5 Useful Python Scripts for Busy Data Scientists

KDnuggets

Tired of spending hours on repetitive data tasks? These Python scripts can come in handy for the overworked data scientist looking to simplify daily workflows.

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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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Outliers

Dataconomy

Outliers are fascinating anomalies within datasets that can tell us much more than mere averages might suggest. In statistical analyses, recognizing these unusual data points can significantly alter perceptions and conclusions. They often provoke curiosity, prompting further investigation into why they deviate from the norm and what that might mean for the data as a whole.

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Automate AIOps with Amazon SageMaker Unified Studio projects, Part 1: Solution architecture

AWS Machine Learning Blog

Amazon SageMaker Unified Studio represents the evolution towards unifying the entire data, analytics, and artificial intelligence and machine learning (AI/ML) lifecycle within a single, governed environment. As organizations adopt SageMaker Unified Studio to unify their data, analytics, and AI workflows, they encounter new challenges around scaling, automation, isolation, multi-tenancy, and continuous integration and delivery (CI/CD).

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Judging with Confidence: Meet PGRM, the Promptable Reward Model

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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What is Data-Centric AI? 

phData

Traditionally, much of artificial intelligence (AI) and machine learning (ML) has been focused on the models themselves. How big the model is, how fast they are and how accurate they can be made. In the ever-evolving landscape of AI, this mindset has begun to shift to the possibility that it is the data – and not the model – that is being used as the foundation for success.

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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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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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Making Sense of Text with Decision Trees

Machine Learning Mastery

In this article, you will learn: • Build a decision tree classifier for spam email detection that analyzes text data.

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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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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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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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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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Diffusion Models Demystified: Understanding the Tech Behind DALL-E and Midjourney

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 Diffusion Models Demystified: Understanding the Tech Behind DALL-E and Midjourney Understand the technical aspects of one of the most popular image generation model architectures.

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The Complete History of OpenAI Models: From GPT-1 to GPT-5

Data Science Dojo

OpenAI models  have transformed the landscape of artificial intelligence, redefining what’s possible in natural language processing, machine learning, and generative AI. From the early days of GPT-1 to the groundbreaking capabilities of GPT-5 , each iteration has brought significant advancements in architecture, training data, and real-world applications.

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Opening the Black Box: Building Transparent AI Governance Frameworks

Precisely

Executive Summary Effective AI governance frameworks are essential for managing the lifecycle of AI models, addressing transparency gaps, monitoring bias and drift, and adapting to evolving regulatory demands. Key practices include centralized model registries, automated compliance workflows, continuous monitoring, standardized templates, and cross-functional collaboration.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

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.

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An Amazon SageMaker Container for Hugging Face Inference on AWS Graviton

Julien Simon

Happy to share my new GitHub project: “ An Amazon SageMaker Container for Hugging Face Inference on AWS Graviton ”. ✅ Based on a clean source build of llama.cpp ✅ Native integration with the SageMaker SDK and with Graviton3/Graviton4 instances ✅ Model deployment from the Hugging Face hub or an Amazon S3 bucket ✅ Deployment of existing GGUF models ✅ Deployment of safetensors models, with automatic GGUF conversion and quantization ✅ Support for OpenAI API ✅ Support for streaming and non-streaming

AWS
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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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Benchmarking GPT-5 on 400 real-world code reviews

Hacker News

See how GPT-5 and other LLMs perform on Qodo’s PR Benchmark—evaluating real-world code reviews, bug detection, and actionable suggestions.

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Artificial intelligence is learning to understand people in surprising new ways

Flipboard

Home Good News Discoveries Innovations Global Good Health Green Impact Space AI Celebrities GNI Subscribe Artificial intelligence is learning to understand people in surprising new ways New research shows AI can analyze personality traits from written text—and even explain how it makes its decisions. Mac Oliveau Published Aug 12, 2025 1:07 PM PDT AI now detects personality traits from text and explains its reasoning, advancing psychology and ethical tech.

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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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Synthetic Data Generation Using the BLIP and PaliGemma Models

PyImageSearch

Home Table of Contents Synthetic Data Generation Using the BLIP and PaliGemma Models Why VLM-as-Judge and Synthetic VQA Configuring Your Development Environment Set Up and Imports Download Images Locally Inference with the Salesforce BLIP Model Convert JSON File to the Hugging Face Dataset Format Inspect One Sample from the Dataset Push the Dataset to the Hugging Face Hub Inference with the Google PaliGemma Model Convert JSON File to the Hugging Face Dataset Format Inspect One Sample from the Da

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Meet the Fellow: Nicholas Tomlin

NYU Center for Data Science

This entry is a part of our Meet the Fellow blog series, which introduces and highlights incoming Faculty Fellows at CDS. Meet CDS Faculty Fellow Nicholas Tomlin , who joined us earlier this summer. Tomlin recently completed his PhD at Berkeley EECS, where he was advised by Dan Klein and affiliated with Berkeley NLP and BAIR. In 2026, he will take on a position at TTIC as an Assistant Professor.

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How AI Helps Prevent Medical Billing Fraud

ODSC - Open Data Science

Medical billing fraud is a significant and persistent problem for healthcare providers with marked societal and economic impacts. The complexity of healthcare billing makes it a frequent target for fraud. As AI technology finds traction in many industries, health care uses machine learning abilities to combat medical billing fraud in several ways. Types of Medical Billing Fraud and How AI Prevents Them The medical industry is vulnerable to exploitation due to the volume of medical transactions a

AI
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Show HN: Building a web search engine from scratch with 3B neural embeddings

Hacker News

End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.

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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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You can now download the source code that sparked the AI boom

Flipboard

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not. Deep learning , which uses multi-layered neural networks that can learn from data without explicit programming, represented a significant departure from traditional AI approaches that relied on hand-crafted ru