KDnuggets

AUGUST 11, 2025

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

ODSC - Open Data Science

AUGUST 12, 2025

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

AWS Machine Learning Blog

AUGUST 12, 2025

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

Dataconomy

AUGUST 13, 2025

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.

Predictive Analytics

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.

AI

KDnuggets

AUGUST 11, 2025

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.

Data Scientist

databricks

AUGUST 12, 2025

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

Data Science

phData

AUGUST 11, 2025

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.

Data Scientist

KDnuggets

AUGUST 11, 2025

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.

Python

Machine Learning Mastery

AUGUST 12, 2025

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

Decision Trees

Precisely

AUGUST 12, 2025

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.

Data Governance

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!

ETL

Julien Simon

AUGUST 12, 2025

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

KDnuggets

AUGUST 13, 2025

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.

Natural Language Processing

Data Science Dojo

AUGUST 11, 2025

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.

Natural Language Processing

Hacker News

AUGUST 12, 2025

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

Clustering

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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.

Analytics

PyImageSearch

AUGUST 11, 2025

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

Deep Learning

Flipboard

AUGUST 9, 2025

Pulmonary disease can severely impair respiratory function and be life-threatening. Accurately recognizing pulmonary diseases in chest X-ray images is challenging due to overlapping body structures and the complex anatomy of the chest. We propose an adaptive multiscale feature fusion model for recognizing Chest X-ray images of pneumonia, tuberculosis, and COVID-19, which are common pulmonary diseases.

Machine Learning

Dataversity

AUGUST 13, 2025

Generative AI is profoundly revolutionizing the creation of training data through synthetic datasets, addressing long-standing challenges in AI development and redefining what is possible in artificial intelligence. This innovation provides a transformative alternative to traditional data collection methods, which are often costly, time-consuming, and fraught with privacy and ethical concerns.

Artificial Intelligence

databricks

AUGUST 12, 2025

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

Data Science

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.

AI

Hacker News

AUGUST 12, 2025

Artificial intelligence (AI) developers are increasingly building language models with warm and empathetic personas that millions of people now use for advice, therapy, and companionship. Here, we show how this creates a significant trade-off: optimizing language models for warmth undermines their reliability, especially when users express vulnerability.

Artificial Intelligence

ODSC - Open Data Science

AUGUST 11, 2025

Week 3 of the Agentic AI Summit brought the series to a powerful close, shifting from building and deploying agents to evaluating, governing, and scaling them in production environments. Leaders from Google, Monte Carlo, Databricks, and the open-source ecosystem shared their hard-won insights on ensuring reliability, compliance, and continuous improvement for agentic systems.

AI

KDnuggets

AUGUST 11, 2025

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-Driven Data Governance and Compliance Best Practices AI is steadily changing data governance by empowering businesses to stay compliant and agile without getting bogged down by manual tasks.

Data Governance

databricks

AUGUST 11, 2025

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

ETL

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

AI

Flipboard

AUGUST 12, 2025

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 How to Go From Text to SQL with LLMs This is a step-by-step guide to prompting LLMs in natural language and getting SQL code.

SQL

Dataconomy

AUGUST 12, 2025

Researchers from Bielefeld University and Purdue University have published Large Language Models Do Not Simulate Human Psychology , presenting conceptual and empirical evidence that large language models (LLMs) cannot be treated as consistent simulators of human psychological responses (Schröder et al. 2025). Background and scope Since 2018, LLMs such as GPT-3.5, GPT-4, and Llama-3.1 have been applied to tasks from content creation to education (Schröder et al. 2025).

Machine Learning

Hacker News

AUGUST 12, 2025

Recent advances in large language models have sparked growing interest in AI agents capable of solving complex, real-world tasks. However, most existing agent systems rely on manually crafted configurations that remain static after deployment, limiting their ability to adapt to dynamic and evolving environments. To this end, recent research has explored agent evolution techniques that aim to automatically enhance agent systems based on interaction data and environmental feedback.

AI

Machine Learning Research at Apple

AUGUST 11, 2025

Recent advancements in long-context language models (LCLMs) have the potential to transform Retrieval-Augmented Generation (RAG) by simplifying pipelines. With their extended context windows, LCLMs can process entire knowledge bases and directly handle retrieval and reasoning. This capability is defined as In-Context Retrieval and Reasoning (ICR2). However, existing benchmarks like LOFT often overestimate LCLM performance because they lack sufficiently challenging contexts.

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.

Analytics

Flipboard

AUGUST 10, 2025

This research introduces a novel machine learning-based strategy for generating supercapacitor (SC) reference current to optimize energy distribution …

Machine Learning

Dataconomy

AUGUST 11, 2025

Researchers conducted a three-part study within a leading global technology company to investigate why adoption of a proprietary AI coding assistant remained low and unequal despite universal access, integration into workflows, and minimal training friction ( Competence Penalty and Technology Adoption , 2025 ). Unequal adoption despite equal access The study analyzed digital trace data from 28,698 full-time software engineers between January and December 2024.

AI

Hacker News

AUGUST 12, 2025

Docs Blog Contact Docs Blog Contact Introducing Nexus - the Open-Source AI Router to aggregate, govern, and secure your AI stack. Fredrik Björk Julius de Bruijn Today, we're excited to introduce Nexus - a powerful AI router designed to optimize how AI agents interact with multiple MCP tools and Large Language Models. Nexus serves as a central hub that aggregates Model Context Protocol (MCP) servers while providing intelligent LLM routing, security and governance capabilities.

AI

KDnuggets

AUGUST 12, 2025

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 Started with Neo4j: Installation and Setup Guide Learn how to install and set up Neo4j. This article will help you start using Neo4j to explore connected data.

Natural Language Processing

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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

Data Pipeline