2025

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Inductive biases of neural network modularity in spatial navigation

ML @ CMU

TL;DR: The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize that this architecture enables better learning and generalization than architectures with less specialized modules. To test this, we trained reinforcement learning agents with various neural architectures on a naturalistic navigation task.

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F1 Score: A Key Metric in LLM Evaluation

Data Science Dojo

Evaluating the performance of Large Language Models (LLMs) is an important and necessary step in refining it. LLMs are used in solving many different problems ranging from text classification and information extraction. Choosing the correct metrics to measure the performance of an LLM can greatly increase the effectiveness of the model. In this blog, we will explore one such crucial metric the F1 score.

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What Are Large Language Models? A Beginner’s Guide for 2025

KDnuggets

Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!

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Nvidia at CES: Omniverse Blueprint for Industry, Generative Physical AI, Access to Blackwells, Cosmos Model for Physical AI

insideBIGDATA

Nvidia issued its anticipated raft of news at CES this week, heres an overview of announcements for the HPC-AI sector: Mega Omniverse Blueprint for Industrial Robot Fleet Digital Twins The company said Mega is an omniverse framework for next-gen industrial AI and robot simulation through software-defined testing and optimization of factories and warehouses.

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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?

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Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding

Analytics Vidhya

In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.

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How HP is optimizing the 3D Printing supply chain using Delta Sharing

databricks

Javier Lagares is a Principal Data Engineer at HP, where he leads the development of data-driven solutions for the 3D printing business. With.

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5 Common Mistakes to Avoid When Training LLMs

Machine Learning Mastery

Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise. Data scientists, machine learning practitioners, and AI engineers alike can fall into common training or fine-tuning patterns that could compromise a model’s performance or scalability.

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Why “Living Intelligence” Is the Next Big Thing

Flipboard

AI is merely one facet of a sweeping technological change underway, and companies that fail to recognize the importance of other converging technologies risk being left behind. Two other technologies advanced sensors and biotechnology are less visible, though no less important, and have been quietly advancing. Soon, the convergence of these three technologies is going to underpin a new reality that will shape the future decisions of every leader across industries.

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AI Tools: Impacts on Cognitive Offloading and the Future of Critical Thinking

Hacker News

The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. Utilising a mixed-method approach, we conducted surveys and in-depth interviews with 666 participants across diverse age groups and educational backgrounds.

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41% of global firms plan layoffs by 2030 due to AI

Dataconomy

According to a World Economic Forum survey, 41% of global firms plan to implement workforce reductions by 2030 as a result of advancements in artificial intelligence (AI). The survey indicates a trend toward significant workforce changes as companies look to integrate AI into their strategies between 2025 and 2030. The World Economic Forums Future of Jobs Report reveals that 77% of the surveyed companies intend to retrain and upskill their existing workforce to work alongside AI systems.

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Apache Airflow® Best Practices: DAG Writing

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!

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Optimizing LLM Test-Time Compute Involves Solving a Meta-RL Problem

ML @ CMU

Figure 1: Training models to optimize test-time compute and learn how to discover correct responses, as opposed to the traditional learning paradigm of learning what answer to output. The major strategy to improve large language models (LLMs) thus far has been to use more and more high-quality data for supervised fine-tuning (SFT) or reinforcement learning (RL).

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A Gentle Introduction to Rust for Python Programmers

KDnuggets

Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust's syntax familiar but with more control over memory and performance.

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How to Monitor Docker Containers

KDnuggets

This guide highlights the importance of container monitoring, key metrics to track, and tools ranging from Docker's built-in commands to comprehensive systems like Prometheus and Grafana.

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My Top Picks: 5 Free NLP Courses I’d Recommend for 2025

KDnuggets

Want to become an NLP pro by 2025? Check out these top free courses and learn from experts whove shaped the future of language models.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Getting Started with the Data Engineer Handbook

KDnuggets

Kickstart your data engineering career with an expert guide available on GitHub.

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5 Free Courses to Master Data Wrangling with Python

KDnuggets

Do you want to learn data wrangling with Python on a budget? No worries, there are (at least) five free courses thatll provide you with solid knowledge.

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How to Use dataframe.map() for Element-wise Operations in Pandas

KDnuggets

Element-wise operations are a crucial part of data preprocessing in Pandas. Learn how to perform them with practical examples using the DataFrame.map() function.

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ML and AI Model Explainability and Interpretability

Analytics Vidhya

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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7 Agentic RAG System Architectures to Build AI Agents

Analytics Vidhya

For me, 2024 has been a year when I was not just using LLMs for content generation but also understanding their internal working. In this quest to learn about LLMs, RAG and more, I discovered the potential of AI Agentsautonomous systems capable of executing tasks and making decisions with minimal human intervention. Going back to […] The post 7 Agentic RAG System Architectures to Build AI Agents appeared first on Analytics Vidhya.

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Exploring AI Agents in Customer Experience with Navin Dhananjaya

Analytics Vidhya

In this Leading with Data, we explore the transformative journey of Navin Dhananjaya, Chief Solutions Officer at Merkle, as he shares key milestones, practical applications of generative AI, and future possibilities for AI agents. Discover how AI is reshaping customer experiences and the data science landscape. You can listen to this episode of Leading with […] The post Exploring AI Agents in Customer Experience with Navin Dhananjaya appeared first on Analytics Vidhya.

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10 Essential SQL Commands for Data Analysis

KDnuggets

What are essential commands for data analysis in SQL? This article will answer this question by mentioning 10 SQL commands. As a bonus, well add some other SQL commands that are not that common but will certainly add flexibility to your analyses.

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Announcing egress control for your Databricks serverless and Mosaic AI Model Serving workloads

databricks

We are excited to announce that egress control for Databricks serverless and Mosaic AI Model Serving workloads is available in Public Preview on.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Introducing Collations to Databricks

databricks

SELECT 'Hello world!' COLLATE UNICODE, 'Zdravo svete!' COLLATE SR, ' , !' COLLATE EL, ', !' COLLATE RU, ', !' COLLATE ZH, 'Bonjour.

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VulnWatch: AI-Enhanced Prioritization of Vulnerabilities

databricks

Every organization is challenged with correctly prioritizing new vulnerabilities that affect a large set of third-party libraries used within their organization. The sheer.

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AI Agents Applications: What they can and cannot do for a Business?

Analytics Vidhya

AI agents are changing how businesses operate, offering unprecedented opportunities for efficiency, scalability, and innovation. Major AI business organisations like Meta, Google, etc are rapidly implementing these AI agents into their workflows, while emerging players like CrewAI and LangChain are spearheading the agentic AI movement to create robust autonomous systems.

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How Aon Reinsurance Solutions is Leveraging Databricks Delta Sharing to Help Make Better Decisions

databricks

Aon plc is a leading global firm providing risk, reinsurance, retirement, and health solutions. Focusing on data-driven insights, Aon operates in over 120.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The Data Engineering Grease, Guts & Gears Behind AI

Adrian Bridgwater for Forbes

Alonside data management frameworks, a holistic approach to data engineering for AI is needed along with data provenance controls and data preparation tools.

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New Freedoms In Bring Your Own Cloud?

Adrian Bridgwater for Forbes

Bring your own cloud is a deployment model that enables a business to host applications and data in their own cloud accounts with zero access from the cloud vendor.

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MLOps Best Practices - MLOps Gym: Crawl

databricks

Introduction MLOps is an ongoing journey, not a once-and-done project. It involves a set of practices and organizational behaviors, not just individual tools.

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An Introduction to Ray: The Swiss Army Knife of Distributed Computing

KDnuggets

Need a simple way to scale Python applications? Ray makes distributed computing easy for tasks like machine learning and data processing.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.