Mon.Jun 23, 2025

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MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management

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 MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management MLFlow is a tool that helps you manage machine learning projects.

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12 AI Tools Everyone is Using in 2025

Analytics Vidhya

In 2025, there’s a new AI tool for everything – text, images, coding, video, you name it, and professionals are eager to know “what’s the best tool for making their work easy?” This topic stays hot as long as generative AI keeps evolving. Everyone’s hunting for the latest AI tools to boost productivity and creativity. […] The post 12 AI Tools Everyone is Using in 2025 appeared first on Analytics Vidhya.

AI 224
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5 Things You Need to Know About Agentic AI

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 5 Things You Need to Know About Agentic AI Check out these insights you need to know before jumping into the latest hype.

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Fault Tolerant Llama training

Hacker News

Skip to main content github Join us at PyTorch Conference in San Francisco, October 22-23. Register now! Hit enter to search or ESC to close Close Search search Menu Learn Get Started Tutorials Learn the Basics PyTorch Recipes Intro to PyTorch – YouTube Series Webinars Community Landscape Join the Ecosystem Community Hub Forums Developer Resources Contributor Awards Community Events PyTorch Ambassadors Projects PyTorch vLLM DeepSpeed Host Your Project Docs PyTorch Domains Blog & News

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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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Top AI firm finds that AIs will choose to merrily asphyxiate humans rather than be shut down: 'My ethical framework permits self-preservation'

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I'm sorry, Dave. I'm afraid I can't do that.

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How to Build your First LLM Application?

Analytics Vidhya

Have you ever tried to build your own Large Language Model (LLM) application? Ever wondered how people are making their own LLM application to increase their productivity? LLM applications have proven to be useful in every aspect. Building an LLM app is now within everyone’s reach. Thanks to the availability of AI models as well […] The post How to Build your First LLM Application?

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Converting Pandas DataFrames to PyTorch DataLoaders for Custom Deep Learning Model Training

Machine Learning Mastery

Pandas DataFrames are powerful and versatile data manipulation and analysis tools.

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Is AI a con? A new book punctures the hype and proposes some ways to resist

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Home Arts + Culture Economy Education Environment + Energy Ethics + Religion Health Politics + Society Science + Tech World Podcasts Local En Español Edition Africa Australia Brasil Canada Canada (français) España Europe France Global Indonesia New Zealand United Kingdom United States Newsletters Edition: United States Africa Australia Brasil Canada Canada (français) España Europe France Global Indonesia New Zealand United Kingdom s Donate Newsletters Academic rigor, journalistic flair Arts + Cu

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Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment

Machine Learning Research at Apple

Existing paradigms for ensuring AI safety, such as guardrail models and alignment training, often compromise either inference efficiency or development flexibility. We introduce Disentangled Safety Adapters (DSA), a novel framework addressing these challenges by decoupling safety-specific computations from a task-optimized base model. DSA utilizes lightweight adapters that leverage the base model's internal representations, enabling diverse and flexible safety functionalities with minimal impact

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Checking In on AI and the Big Five

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By Ben Thompson About Email/RSS @benthompson Explore Concepts Companies Topics Stratechery Plus Subscribe Log In Learn More Member Forum Menu Stratechery Plus Subscribe Log In Learn More Member Forum By Ben Thompson About Email/RSS @benthompson Explore Concepts Companies Topics More by Ben Thompson Updates Interviews Year in Review All Articles Latest Podcast The Thunder are World Champions, Long Live the 2025 Pacers, Kevin Durant Heads to His Fifth Team in 18 Years Greatest Of All Talk | Jun 23

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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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Meta forms elite AI unit with $14B war chest

Dataconomy

According to The Wall Street Journal , Mark Zuckerberg has personally contacted hundreds of AI researchers and engineers through emails and WhatsApp messages to recruit for a new Superintelligence lab, offering substantial financial incentives, including packages potentially reaching $100 million, to attract talent to Meta Platforms. Some individuals who received messages from Zuckerberg initially doubted their authenticity, with one person assuming the outreach was a hoax and delaying their res

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Reinforcement Learning from Human Feedback, Explained Simply

Flipboard

The world’s leading publication for data science, AI, and ML professionals. Sign in Sign out Contributor Portal Latest Editor’s Picks Deep Dives Contribute Newsletter Toggle Mobile Navigation LinkedIn X Toggle Search Search Large Language Models Reinforcement Learning from Human Feedback, Explained Simply The one technique that made ChatGPT so smart Vyacheslav Efimov Jun 23, 2025 7 min read Share Introduction The appearance of ChatGPT in 2022 completely changed how the world started perceiving a

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Machine Learning Research at Apple

We present STARFlow, a scalable generative model based on normalizing flows that achieves strong performance in high-resolution image synthesis. The core of STARFlow is Transformer Autoregressive Flow (TARFlow), which combines the expressive power of normalizing flows with the structured modeling capabilities of Autoregressive Transformers. We first establish the theoretical universality of TARFlow for modeling continuous distributions.

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How to Learn Programming for Data Science: A Roadmap for Beginners

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Here's a roadmap to learning programming for data science, designed for absolute beginners with big ambitions.

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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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Announcing support for New UC Python UDF Features

databricks

Unity Catalog Python user-defined functions (UC Python UDFs) are increasingly used in modern data warehousing, running millions of queries daily across thousands of organizations.

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A Gentle Introduction to Multi-Head Latent Attention (MLA)

Flipboard

This post is divided into three parts; they are: • Low-Rank Approximation of Matrices • Multi-head Latent Attention (MLA) • PyTorch Implementation Multi-Head Attention (MHA) and Grouped-Query Attention (GQA) are the attention mechanisms used in almost all transformer models.

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Breakthrough cancer test predicts whether chemotherapy will work

Hacker News

Test, developed by University of Cambridge, looks at structure of tumour DNA and forecasts whether it will resist treatment

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Scaling de-duplication in WorldCat: Balancing AI innovation with cataloging care | OCLC

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OCLC.org OCLC.org Home Research Support & Training Community Center Developer Network WebJunction Toggle navigation About Next LEFT SIDEBAR - NAVIGATION --> Next provides insight and information about the work being done by and for libraries all over the world. Authors Skip Prichard Drew Bordas Stacy Brunner Rebecca Bryant Susan Chaney Peter Collins Karen Coombs Ixchel M.

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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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Silicon Valley’s newest must-have skill: Vibe coding

Dataconomy

Vibe coding , defined as the application of artificial intelligence to generate code, has emerged as a pronounced trend within Silicon Valley, directly influencing technology job market requirements, reports Business Insider. This practice is increasingly cited in professional requisitions, with companies such as Visa, Reddit, and DoorDash seeking candidates possessing expertise in AI code generation to accelerate product development cycles.

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Goldman Sachs announces firmwide launch of AI assistant

Flipboard

On Monday, Goldman Sachs announced that it is rolling out a generative artificial intelligence (AI) assistant across the firm in its latest move to incorporate the technology into employees' workflows.

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Data set

Dataconomy

Data sets play a pivotal role in various fields, facilitating the extraction of valuable insights from organized information. They serve as the backbone of analytics, powering not only business intelligence but also machine learning applications. Understanding the structure, types, and formats of data sets is essential for anyone looking to leverage data effectively.

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Use Graph Machine Learning to detect fraud with Amazon Neptune Analytics and GraphStorm

Flipboard

Every year, businesses and consumers lose billions of dollars to fraud, with consumers reporting $12.

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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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Judge denies creating “mass surveillance program” harming all ChatGPT users

Hacker News

OpenAI will fight order to keep all ChatGPT logs after users fail to sway court.

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Snowflake schema

Dataconomy

Understanding the snowflake schema is essential for anyone involved in data warehousing. This modeling technique offers distinct advantages in the organization and management of complex data sets. Unlike simpler models, the snowflake schema introduces a level of normalization that enhances data integrity and reduces redundancy, making it a popular choice among data professionals.

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Apple Research unearthed forgotten AI technique and using it to generate images

Hacker News

Apple’s latest research hints that a long-forgotten AI technique could have new potential for generating images. Here’s the breakdown.

AI 149
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DataOps

Dataconomy

DataOps is transforming the way organizations handle and utilize data in today’s fast-paced digital landscape. By integrating Agile methodologies into data practices, DataOps enhances collaboration among cross-functional teams, leading to improved data quality and speed in delivering insights. This approach not only breaks down silos but also aligns data management with business objectives, creating a more responsive and effective data pipeline.

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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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Vera C. Rubin Observatory first images

Hacker News

Dive into Rubin's Cosmic Treasure Chest — there's so much to explore

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OLAP

Dataconomy

OLAP, or Online Analytical Processing, revolutionizes the way businesses analyze data. By enabling multidimensional analysis, it provides users the ability to dissect vast amounts of information quickly and efficiently. With OLAP, companies can reveal trends, generate reports, and predict future outcomes, all of which are essential for strategic decision-making.

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uv: An extremely fast Python package and project manager, written in Rust

Hacker News

An extremely fast Python package and project manager, written in Rust.

Python 136
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Vibe coding

Dataconomy

Vibe coding introduces an exciting shift in software development by leveraging artificial intelligence (AI) to simplify the coding process. This approach allows developers to communicate their programming needs through natural language, ushering in a new era where complex coding tasks may become more accessible to a wider audience, including those who lack traditional programming skills.

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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.