Sat.Jun 21, 2025 - Fri.Jun 27, 2025

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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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Federal Judge Rules AI Training on Copyrighted Books Is Fair Use — With Key Limitations

ODSC - Open Data Science

Federal Judge Rules AI Training on Copyrighted Books Is Fair Use — With Key Limitations In a landmark decision for the generative AI industry, a federal judge has ruled that training AI models on copyrighted books qualifies as fair use under U.S. copyright law. The ruling, issued Monday by U.S. District Judge William Alsup in California’s Northern District, marks the first significant legal precedent in a series of ongoing lawsuits challenging the legality of AI training practices.

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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?

Analytics 162
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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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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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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.

Analytics 176
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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.

AI 351

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How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps

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 How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps With just two Python files and a handful of methods, you can build a complete dashboard that rivals expensive business intelligence tools.

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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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7 AI Agent Frameworks for Machine Learning Workflows in 2025

Machine Learning Mastery

Machine learning practitioners spend countless hours on repetitive tasks: monitoring model performance, retraining pipelines, data quality checks, and experiment tracking.

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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.

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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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Automate Data Quality Reports with n8n: From CSV to Professional Analysis

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 Automate Data Quality Reports with n8n: From CSV to Professional Analysis Analyze any CSV dataset from a URL and generate professional quality reports with n8n By Vinod Chugani on June 26, 2025 in Data Science Image by Author | ChatGPT The Data Quali

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CTGT’s AI Platform Built to Eliminate Bias, Hallucinations in AI Models

insideBIGDATA

San Francisco – June 27, 2025 – CTGT, which enables enterprises to deploy AI for high-risk use cases, announced today an upgrade to its platform designed to remove bias, hallucinations and other unwanted model features from DeepSeek and other open source AI models.

AI 195
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Muvera: Making multi-vector retrieval as fast as single-vector search

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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'Quantum AI' algorithms already outpace the fastest supercomputers, study says

Flipboard

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Algorithm 181
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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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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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LayerNorm and RMS Norm in Transformer Models

Machine Learning Mastery

This post is divided into five parts; they are: • Why Normalization is Needed in Transformers • LayerNorm and Its Implementation • Adaptive LayerNorm • RMS Norm and Its Implementation • Using PyTorch's Built-in Normalization Normalization layers improve model quality in deep learning.

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

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 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

AI 181
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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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Building AI Agents with llama.cpp

KDnuggets

This guide will walk you through the entire process of setting up and running a llama.cpp server on your local machine, building a local AI agent, and testing it with a variety of prompts.

AI 245
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Combining XGBoost and Embeddings: Hybrid Semantic Boosted Trees?

Machine Learning Mastery

The intersection of traditional machine learning and modern representation learning is opening up new possibilities.

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Introducing Gemma 3n

Hacker News

Learn how to build with Gemma 3n, a mobile-first architecture, MatFormer technology, Per-Layer Embeddings, and new audio and vision encoders.

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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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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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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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Accelerating Provider MDM in Healthcare with Databricks and AI

databricks

Healthcare operations and patient care depends on accurate, complete, and unified data.

AI 204
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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.

AI 164
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AI Will Blackmail, Snitch, Even Kill For Its Hidden Agendas

Analytics Vidhya

Threats associated with AI use are rising in both volume and severity, as this new-age technology touches more and more aspects of human lives. A new report now warns of another impending danger associated with the wide-scale use of AI. The findings contained within are quite unnerving – it claims that AI may blackmail or […] The post AI Will Blackmail, Snitch, Even Kill For Its Hidden Agendas appeared first on Analytics Vidhya.

AI 254
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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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Make Sense of a 10K+ Line GitHub Repos Without Reading the Code

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 Make Sense of a 10K+ Line GitHub Repos Without Reading the Code No time to read huge GitHub projects?

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A federal judge sides with Anthropic in lawsuit over training AI on books without authors’ permission

Flipboard

Federal judge William Alsup ruled that it was legal for Anthropic to train its AI models on published books without the authors’ permission.

AI 182
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Anthropic trashed millions of books to train its AI

Dataconomy

Anthropic physically scanned millions of print books to train its AI assistant, Claude, subsequently discarding the originals, as revealed in court documents, according to Ars Tecnica. This extensive operation, detailed in a legal decision , involved the acquisition and destructive digitization of these texts. The company’s approach to data acquisition reflects a broader industry demand for high-quality textual information.

AI 157
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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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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