Sat.Oct 19, 2024 - Fri.Oct 25, 2024

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AI’s Got Some Explaining to Do

Towards AI

Author(s): Paul Ferguson, Ph.D. Originally published on Towards AI. Why We’re Demanding Answers from Our Smartest Machines Image generated by Gemini AI Artificial intelligence is making decisions that impact our lives in profound ways, from loan approvals to medical diagnoses. Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives.

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What is Agentic AI Tool Use Pattern?

Analytics Vidhya

Our previous guide discussed the first Agentic AI design pattern from the Reflection, Tool Use, Planning, and Multi-Agent Patterns list. Now, we will talk about the Tool Use Pattern in Agentic AI. Firstly, let us reiterate the Reflection Pattern article: That article sheds light on how LLMs can use an iterative generation process and self-assessment […] The post What is Agentic AI Tool Use Pattern?

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Rift Between Junior and Senior Developers

O'Reilly Media

I’m worried about AI. I’m not worried about it taking my job. I believe AI is a genuine productivity tool. By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem.

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Arm is canceling Qualcomm's chip design license

Hacker News

Arm Holdings Plc is canceling a license that allowed longtime partner Qualcomm Inc. to use Arm intellectual property to design chips, escalating a legal dispute over vital smartphone technology.

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Apache Airflow®: The Ultimate Guide to 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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Intelligent Data Engineering for Enterprise AI with Databricks and Informatica

databricks

Generative AI holds tremendous promise for how organizations unlock value from their data. However, it also comes with a litany of challenges around.

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A Mixture Model Approach for Clustering Time Series Data

Towards AI

Last Updated on October 19, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Time Series Clustering Using Auto-Regressive Models, Moving Averages, and Nonlinear Trend Functions Photo by Ricardo Gomez Angel on Unsplash Clustering time series data, like stock prices or gene expression, is often difficult.

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DeepLearning.AI Dropped a New Course

KDnuggets

With the development of AI technologies and tools, the best one can do for their career is stay ahead of the game and continue to upskill.

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New generative AI tools open the doors of music creation

DeepMind

Our latest AI music technologies are now available in MusicFX DJ, Music AI Sandbox and YouTube Shorts

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Predictive Maintenance Using Isolation Forest

PyImageSearch

Home Table of Contents Predictive Maintenance Using Isolation Forest What Is Predictive Maintenance? And Why Anomaly Detection? Predictive Maintenance Predictive Maintenance as Anomaly Detection The Isolation Forest Algorithm Isolation Trees Anomaly Score Building the Forest Implementing Predictive Maintenance Using Isolation Forest Setup and Data Preparation Building Isolation Trees Computing Anomaly Scores Building the Forest Testing and Evaluating Summary Citation Information Predictive Maint

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The insideAI News IMPACT 50 List for Q4 2024

insideBIGDATA

The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

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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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What is LangChain? Key Features, Tools, and Use Cases

Data Science Dojo

Applications powered by large language models (LLMs) are revolutionizing the way businesses operate, from automating customer service to enhancing data analysis. In today’s fast-paced technological landscape, staying ahead means leveraging these powerful tools to their full potential. For instance, a global e-commerce company striving to provide exceptional customer support around the clock can implement LangChain to develop an intelligent chatbot.

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Combining Machine Learning and Homomorphic Encryption in the Apple Ecosystem

Machine Learning Research at Apple

At Apple, we believe privacy is a fundamental human right. Our work to protect user privacy is informed by a set of privacy principles, and one of those principles is to prioritize using on-device processing. By performing computations locally on a user’s device, we help minimize the amount of data that is shared with Apple or other entities. Of course, a user may request on-device experiences powered by machine learning (ML) that can be enriched by looking up global knowledge hosted on servers.

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10 GitHub Repositories to Master Natural Language Processing (NLP)

KDnuggets

Enhance your NLP skills through a variety of resources, including roadmaps, frameworks, courses, tutorials, example code, and projects.

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Report: Acrolinx Surveys Forbes 2000 Enterprises on Attitudes Toward AI Related to Use, Risk, and Regulation

insideBIGDATA

Acrolinx, the AI-powered content governance software provider, sought to discover where current enterprise attitudes towards AI stand. Today, the company released its report "Generative AI in Business: A Snapshot of Enterprise Use, Risk, and Regulation.

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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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Open Source Security at Databricks

databricks

The Databricks Product Security team is deeply committed to ensuring the security and integrity of its products, which are built on top of.

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Understanding RAG III: Fusion Retrieval and Reranking

Machine Learning Mastery

Check out the previous articles in this series: Understanding RAG Part I: Why It’s Needed Understanding RAG Part II: How Classic RAG Works Having previously introduced what is RAG, why it matters in the context of Large Language Models (LLMs), and what does a classic retriever-generator system for RAG look like, the third post in […]

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10 Essential Python Libraries for Data Science in 2024

KDnuggets

The richness of Python’s ecosystem has one downside: it makes it difficult to decide which libraries are the best for your needs. This article is an attempt to amend this by suggesting ten (and some more, as a bonus) libraries that are an absolute must in data science.

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Unlock AI’s Full Potential: How to Overcome Enterprises’ Biggest Data and Infrastructure Challenges

insideBIGDATA

In this contributed article, Mohsin Hussain, Chief Technology Officer at LiveRamp, believes that as AI models become more sophisticated and accessible, many companies are entering an AI “arms race.” To ensure success, companies must fortify their enterprise systems with more robust and higher-quality data.

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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 Simple, Fast, and Scalable Batch LLM Inference on Mosaic AI Model Serving

databricks

Over the years, organizations have amassed a vast amount of unstructured text data—documents, reports, and emails—but extracting meaningful insights has remained a challenge.

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Understanding LLM Evaluation: Metrics, Benchmarks, and Real-World Applications

Data Science Dojo

Why evaluate large language models (LLMs)? Because these models are stochastic , responding based on probabilities, not guarantees. With new models popping up almost daily, it’s crucial to know if they truly perform better. Moreover, LLMs have numerous quirks: they hallucinate (confidently spouting falsehoods), format responses poorly, slip into the wrong tone, go “off the rails,” or get overly cautious.

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Get Hired Fast: Trending AI Tool to Find and Apply for Your Dream Job

KDnuggets

Tired of endless job applications? Discover how AI is transforming the job hunt and helping people land their dream careers with just a single click.

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GPUs Driving Innovation Beyond AI Projects, New Hammerspace Report Reveals

insideBIGDATA

Enterprise AI adoption is still in its exploration stages, but companies are finding innovative ways to leverage their GPU investments beyond AI applications and reaping good results, according to a new report from Hammerspace, the company orchestrating the next data cycle.

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Apache Airflow®: The Ultimate Guide to 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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Bringing Together Data Intelligence and Evaluation Intelligence: Databricks Ventures Invests in Galileo

databricks

Our customers say their biggest challenge in getting Generative AI from pilot to production is the " measurement problem." It's hard to.

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7 Open-Source Machine Learning Projects You Can Contribute To Today

Machine Learning Mastery

Are you a machine learning enthusiast looking to level up your skills? If so, contributing to open-source machine learning projects is one of the best ways to improve your coding skills.

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5 Free Courses to Understand Machine Learning Algorithms

KDnuggets

To help you navigate this complex subject, we’ve compiled five free online courses that will give you a solid foundation in machine learning algorithms.

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The Grand Challenge of Sustainable AI

insideBIGDATA

In this contributed article, Michela Taufer, Ph.D. and Chandra Krintz, Ph.D., highlight that as we unlock AI's full potential, society faces an unsettling paradox: the technology used to solve global problems may exacerbate one of our most pressing challenges - climate change.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Databricks Migration Strategy - lessons learned

databricks

Migrating your data warehouse workloads is one of the most challenging yet essential tasks for any organization. Whether the motivation is the growth.

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MUSCLE: A Model Update Strategy for Compatible LLM Evolution

Machine Learning Research at Apple

Large Language Models (LLMs) are regularly updated to enhance performance, typically through changes in data or architecture. Within the update process, developers often prioritize improving overall performance metrics, paying less attention to maintaining compatibility with earlier model versions. Instance-level degradation (instance regression) of performance from one model version to the next can interfere with a user's mental model of the capabilities of a particular language model.

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5 Lesser-Known Data Transformation Techniques for Better Analysis

KDnuggets

Utilize these transformation techniques in your data workflow.

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Applications of Knowledge Graphs in LLM Applications

Data Science Dojo

AI is booming with Large Language Models (LLMs) like GPT-4, which generate impressively human-like text. Yet, they have a big problem: hallucinations. LLMs can confidently produce answers that are completely wrong or made up. This is risky when accuracy matters. But there’s a fix: knowledge graphs. They organize information into connected facts and relationships, giving LLMs a solid factual foundation.

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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.