Top 5 Frameworks for Distributed Machine Learning
KDnuggets
JUNE 20, 2025
Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.
KDnuggets
JUNE 20, 2025
Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.
insideBIGDATA
JUNE 24, 2025
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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Machine Learning Mastery
JUNE 19, 2025
MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.
databricks
JUNE 18, 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
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 Vidhya
JUNE 19, 2025
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.
KDnuggets
JUNE 19, 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 Go vs. Python for Modern Data Workflows: Need Help Deciding? Need both performance and flexibility in your data workflows?
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
insideBIGDATA
JUNE 18, 2025
SAN MATEO, CA – June 18, 2025 — Analytics automation company Savant Labs today launched its Summer 2025 Release, including their Agentic Analytics Suite and Intelligence Graph, one-click integration with Anthropic Claude, and migration tools to help enterprises modernize from legacy self-service analytics platforms.
Hacker News
JUNE 18, 2025
Building on the recent empirical work of Kwa et al.
JUNE 20, 2025
Large language models across the AI industry are increasingly willing to evade safeguards, resort to deception and even attempt to steal corporate …
KDnuggets
JUNE 23, 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 MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management MLFlow is a tool that helps you manage machine learning projects.
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.
Analytics Vidhya
JUNE 21, 2025
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.
Machine Learning Research at Apple
JUNE 20, 2025
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.
insideBIGDATA
JUNE 20, 2025
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.
JUNE 23, 2025
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
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
KDnuggets
JUNE 18, 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 The 7 Most Useful Jupyter Notebook Extensions for Data Scientists In this article, we will explore seven different Jupyter Notebook extensions that will improve your work.
Hacker News
JUNE 20, 2025
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.
Analytics Vidhya
JUNE 24, 2025
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.
insideBIGDATA
JUNE 19, 2025
". 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.
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.
JUNE 23, 2025
I'm sorry, Dave. I'm afraid I can't do that.
KDnuggets
JUNE 19, 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 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.
Eugene Yan
JUNE 21, 2025
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.
Analytics Vidhya
JUNE 23, 2025
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?
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?
Dataconomy
JUNE 18, 2025
AI bots are quietly overwhelming the digital infrastructure behind our cultural memory. In early 2025, libraries, museums, and archives around the world began reporting mysterious traffic surges on their websites. The culprit? Automated bots scraping entire online collections to fuel training datasets for large AI models. What started as a few isolated incidents is now becoming a global pattern.
JUNE 18, 2025
Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About Self-Evolving AI : New MIT AI Rewrites its Own Code and it’s Changing Everything 1:13 pm June 18, 2025 By Julian Horsey What if artificial intelligence could not only learn but also rewrite its own code to become smarter over time?
KDnuggets
JUNE 23, 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 5 Things You Need to Know About Agentic AI Check out these insights you need to know before jumping into the latest hype.
Machine Learning Mastery
JUNE 19, 2025
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.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Hacker News
JUNE 18, 2025
home I counted all of the yurts in Mongolia using machine learning Jun 17, 2025 Table of Contents Counting all the yurts in Mongolia Training a model to identify yurts Refining the search area Building a model backend for labeling Monitoring accuracy of each model Scaling training of models Deploying models and searching Mongolia The resulting count The people of the yurts Further questions The Fall of Civilizations podcast put out a 6¾-hour episode on the history of the Mongol Empire, which I e
databricks
JUNE 18, 2025
At Ibotta, our mission is to Make Every Purchase Rewarding.
JUNE 23, 2025
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
KDnuggets
JUNE 24, 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 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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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