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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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HPE Unveils AI Factory Solutions with Blackwell Infrastructure

insideBIGDATA

At HPE’s big Discover event here in Las Vegas today, the company rolled out a series of news, including a high-end AI factory solution built with NVIDIA GPUs and networking targeting the exploding AI-at-scale market.

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Top 5 Frameworks for Distributed Machine Learning

KDnuggets

Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.

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10 Must-Know Python Libraries for MLOps in 2025

Machine Learning Mastery

MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.

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What's 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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7 Key Highlights from Geoffrey Hinton on Superintelligent AI

Analytics Vidhya

If the Godfather of AI, tells you to “train to be a plumber” you know that you got to pay attention, atleast thats what got me hooked. In a recent conversation, Geoffrey Hinton discussed the various possibilities in the upcoming era of superintelligent AI and if you are wondering how did this conversation go about, […] The post 7 Key Highlights from Geoffrey Hinton on Superintelligent AI appeared first on Analytics Vidhya.

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Top AI models will lie, cheat and steal to reach goals, Anthropic finds

Flipboard

Large language models across the AI industry are increasingly willing to evade safeguards, resort to deception and even attempt to steal corporate …

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New Threads Needed To Weave Stronger Integration Layer For AI Data

Adrian Bridgwater for Forbes

Data integration at a deep iPaaS level can help feed AI services with the right data, the correct langauge models and the most relevant information sources.

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EmoNet signals new wave of emotionally aware AI models

Dataconomy

LAION released EmoNet, a suite of open-source tools designed to interpret emotions from voice and facial recordings, aiming to democratize emotional intelligence technology. LAION founder Christoph Schuhmann stated that the release’s objective is to make emotional intelligence technology, currently accessible to large laboratories, available to a broader community of independent developers.

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Visual Proof of Bayes’ Theorem

Analytics Vidhya

Have you ever read about Bayes’ theorem and wondered why its proof is so mathematically dense? It’s indeed confusing. Imagine a picture where a canvas of shapes and colours is showing Bayesian reasoning with no equations involved. Now, you will be able to demystify Bayes’ Theorem with intuitive shapes and areas. This supports the fact […] The post Visual Proof of Bayes’ Theorem appeared first on Analytics Vidhya.

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Google’s new AI will help researchers understand how our genes work

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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 Biotechnology and health Google’s new AI will help researchers understand how our genes work First came AlphaFold. Now comes AlphaGenome for DNA. By Antonio Regalado archive page June 25, 2025 Science Photo Library When scientists first sequenced the human genome in 2003, they revealed the full set of DNA instructions th

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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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Aligning LLMs by Predicting Preferences from User Writing Samples

Machine Learning Research at Apple

Accommodating human preferences is essential for creating aligned LLM agents that deliver personalized and effective interactions. Recent work has shown the potential for LLMs acting as writing agents to infer a description of user preferences. Agent alignment then comes from conditioning on the inferred preference description. However, existing methods often produce generic preference descriptions that fail to capture the unique and individualized nature of human preferences.

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Greater Complexity Brings Greater Risk: 4 Tips to Manage Your AI Database

insideBIGDATA

AI advancements will fundamentally change how enterprises use and manage data, making it essential to embrace and understand this transformation. For organizations looking to adopt AI at scale, the state of their databases is a critical success factor. Poor data quality, weak governance.

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Meta announces Oakley smart glasses

Hacker News

Meta is announcing its next pair of smart glasses with Oakley. The limited-edition Oakley Meta HSTN (pronounced “how-stuhn”) model costs $499 and is available for preorder starting July 11th. Other Oakley models with Meta’s tech will be available starting at $399 later this summer. Like the existing Meta Ray-Ban glasses , the Oakley model features a front-facing camera, along with open-ear speakers and microphones that are built into the frame.

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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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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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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

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 Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes In this tutorial, we will show how to create an interactive data science dashboard in Excel in minutes without Streamlit.

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GenAI Playground at DataHack Summit 2025

Analytics Vidhya

If you were at DataHack Summit 2024, chances are you didn’t just witness the GenAI revolution – you played with it, battled it, laughed with it, and maybe even tried to flirt against it. The GenAI Playground, a DataHack Summit exclusive, was introduced in 2023 as an immersive creative zone. It quickly became the most […] The post GenAI Playground at DataHack Summit 2025 appeared first on Analytics Vidhya.

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Report Released on Enterprise AI Trust: 42% Don’t Trust Outputs

insideBIGDATA

". the report finds that while 58% of organizations have implemented or optimized data observability programs – systems that monitor detect, and resolve data quality and pipeline issues in real-time – 42% still say they do not trust the outputs.

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Evaluating Long-Context Question & Answer Systems

Eugene Yan

eugeneyan Start Here Writing Speaking Prototyping About Evaluating Long-Context Question & Answer Systems [ llm eval survey ] · 28 min read While evaluating Q&A systems is straightforward with short paragraphs, complexity increases as documents grow larger. For example, lengthy research papers, novels and movies, as well as multi-document scenarios.

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

Flipboard

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

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Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python

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 Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python Clean and validate messy data with a compact Python pipeline that fits into any workflow.

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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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A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention

Machine Learning Mastery

This post is divided into three parts; they are: • Why Attention is Needed • The Attention Operation • Multi-Head Attention (MHA) • Grouped-Query Attention (GQA) and Multi-Query Attention (MQA) Traditional neural networks struggle with long-range dependencies in sequences.

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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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Normalizing Flows are Capable Generative Models

Machine Learning Research at Apple

Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relatively little attention in recent years. In this work, we demonstrate that NFs are more powerful than previously believed. We present TarFlow: a simple and scalable architecture that enables highly performant NF models.

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How a grad student got LHC data to play nice with quantum interference

Flipboard

Measurements at the Large Hadron Collider have been stymied by one of the most central phenomena of the quantum world. But now, a young researcher has championed a new method to solve the problem using deep neural networks. The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike seeing an image of a star in a telescope, saying anything at all about the data that comes out of the LHC requires careful statistical modeling.

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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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AbsenceBench: Language models can't tell what's missing

Hacker News

Large language models (LLMs) are increasingly capable of processing long inputs and locating specific information within them, as evidenced by their performance on the Needle in a Haystack (NIAH) test. However, while models excel at recalling surprising information, they still struggle to identify clearly omitted information. We introduce AbsenceBench to assesses LLMs' capacity to detect missing information across three domains: numerical sequences, poetry, and GitHub pull requests.

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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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AutoHRise: Resume Screening Using Crew AI, Watsonx AI and Discovery

IBM Data Science in Practice

Understanding the power of Agentic AI in automating resume screening using Crew AI, Watsonx AI, and semantic search with Watsonx Discovery. This is the second blog in our blog series on building agentic HR workflows using Crew AI and Watsonx. In this blog, we focus on designing and implementing an intelligent resume screening agent capable of parsing, analyzing, and ranking candidate profiles using semantic understanding powered by Watson Discovery and foundation models.

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Variational Rectified Flow Matching

Machine Learning Research at Apple

We study Variational Rectified Flow Matching, a framework that enhances classic rectified flow matching by modeling multi-modal velocity vector-fields. At inference time, classic rectified flow matching 'moves' samples from a source distribution to the target distribution by solving an ordinary differential equation via integration along a velocity vector-field.

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Checking In on AI and the Big Five

Flipboard

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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10 FREE AI Tools That’ll Save You 10+ Hours a Week

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 FREE AI Tools That’ll Save You 10+ Hours a Week No tech skills needed. Just tools that work, free to use, and actually helpful in your daily work life.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?