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Building a Custom PDF Parser with PyPDF and LangChain

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 Building a Custom PDF Parser with PyPDF and LangChain PDFs look simple — until you try to parse one.

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Introducing Databricks One

databricks

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

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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

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 Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale Publicly available datasets in recommender research currently shaping the field.

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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

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

Analytics 331
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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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News Bytes 20250609: AI Defying Human Control, Huawei’s 5nm Chips, WSTS Semiconductor Forecast

insideBIGDATA

A rare day in June to you! As the ISC 2025 supercomputing conference, we reflect on interesting recent news in the world of HPC-AI, including: – French government to acquire Eviden from Atos – Made-in-China 5nm chips from Huawei – World Semiconductor Trade Statistics (WSTS) market forecast – AI eerily defies human control.

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Implementing Vector Search from Scratch: A Step-by-Step Tutorial

Machine Learning Mastery

There’s no doubt that search is one of the most fundamental problems in computing.

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Integrating DuckDB & Python: An Analytics Guide

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 Integrating DuckDB & Python: An Analytics Guide Learn how to run lightning-fast SQL queries on local files with ease.

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Announcing Lakebase Public Preview

databricks

At the Data and AI Summit, we introduced a new category of operational databases called lakebases for building intelligent applications.

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Multiverse Computing Raises $215M for LLM Compression

insideBIGDATA

San Sebastian, Spain – June 12, 2025: Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while maintaining model performance, according to the company. The company today also announced a €189 million ($215 million) investment round.

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Q-learning is not yet scalable

Hacker News

Q-learning is not yet scalable Seohong Park UC Berkeley June 2025 Does RL scale? Over the past few years, weve seen that next-token prediction scales, denoising diffusion scales, contrastive learning scales, and so on, all the way to the point where we can train models with billions of parameters with a scalable objective that can eat up as much data as we can throw at it.

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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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Run LLMs Locally for Free Using Google’s Latest App!

Analytics Vidhya

The world of AI has just taken a gigantic leap forward by Edge Gallery Google. Just in the last week, Google quietly launched AI Edge Gallery, a democratizing application for AI. Google Edge AI enables the execution of powerful language models directly on our smartphones, eliminating dependency on the cloud and offering no subscription fees. […] The post Run LLMs Locally for Free Using Google’s Latest App!

Analytics 218
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Multiverse Computing Raises $215M for LLM Compression

insideBIGDATA

Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while maintaining model performance, according to the company.

AI 195
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How to Learn Math for Data Science: A Roadmap for Beginners

Flipboard

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 Learn Math for Data Science: A Roadmap for Beginners Confused about where to start with data science math?

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Apple Exposes Reasoning Flaws in o3, Claude, and DeepSeek-R1

Analytics Vidhya

A rather brutal truth has emerged in the AI industry, redefining what we consider the true capabilities of AI. A research paper titled “The Illusion of Thinking” has sent ripples across the tech world, exposing reasoning flaws in prominent AI ‘so-called reasoning’ models – Claude 3.7 Sonnet (thinking), DeepSeek-R1, and OpenAI’s o3-mini (high).

Analytics 201
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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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Why You Need RAG to Stay Relevant as a Data Scientist

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 Why You Need RAG to Stay Relevant as a Data Scientist How retrieval-augmented generation (RAG) reduces LLM costs, minimises hallucinations, and keeps you employable in the age of AI.

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Introducing Databricks Free Edition

databricks

Today, we are excited to announce the availability of Databricks Free Edition, a product for learning and exploring the latest data and AI technologies for free.

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AMD Announces New GPUs, Development Platform, Rack Scale Architecture

insideBIGDATA

AMD issued a raft of news at their Advancing AI 2025 event this week, an update on the company’s response to NVIDIA’s 90-plus percent market share dominance in the GPU and AI markets. And the company offered a sneak peak at what to expect from their next generation of EPYC CPUs and Instinct GPUs.

AI 349
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EchoLeak – 0-Click AI Vulnerability Enabling Data Exfiltration from 365 Copilot

Hacker News

New! Platform Platform AI Runtime Protection Runtime Security for your AI applications and agents Aim for End Users Allow your employees to securely adopt AI AI Agent Security Enterprise-grade security for your AI agents AI Security Posture Management Secure your AI dev lifecycle, from training to inference Latest from our blog The Agentic AI Revolution is Here MCP Explained: The Security Essentials of Proactive AI Go to Blog Use Cases Use Cases Discover Shadow AI AI Adoption Acceleration End-to

AI 178
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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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Nvidia CEO: You now program AI the same way you talk to people

Dataconomy

Nvidia CEO Jensen Huang stated at London Tech Week on Monday that artificial intelligence serves as an “equalizer,” enabling users to program with natural language. Huang addressed the challenges of traditional computing, noting the necessity for specialized programming languages and complex computer architecture. He said, “We had to learn programming languages.

AI 176
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7 Python Errors That Are Actually Features

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 7 Python Errors That Are Actually Features You never expected these Python errors to help your work, but they do!

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Announcing Lakeflow Designer: No-Code ETL, Powered by the Databricks Intelligence Platform

databricks

We’re excited to announce Lakeflow Designer, an AI-powered, no-code pipeline builder that is fully integrated with the Databricks Data Intelligence Platform.

ETL 216
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Translating the Internet in 18 Days: DeepL to Deploy NVIDIA DGX SuperPOD

insideBIGDATA

Language AI company DeepL announced the deployment of an NVIDIA DGX SuperPOD with DGX Grace Blackwell 200 systems. The company said the system will enable DeepL to translate the entire internet – which currently takes 194 days of nonstop processing – in just over 18 days.

AI 221
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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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Navigating Imbalanced Datasets with Pandas and Scikit-learn

Machine Learning Mastery

Imbalanced datasets, where a majority of the data samples belong to one class and the remaining minority belong to others, are not that rare.

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AI Agents in Analytics Workflows: Too Early or Already Behind?

Flipboard

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 AI Agents in Analytics Workflows: Too Early or Already Behind? A look at how AI agents are reshaping the data analytics workflow and whether you’re ahead or behind the curve.

Analytics 158
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Automating GitHub Workflows with Claude 4

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 Automating GitHub Workflows with Claude 4 Learn how to set up the Claude App in your GitHub repository and invoke it directly through comments.

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Mosaic AI Announcements at Data + AI Summit 2025

databricks

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

AI 191
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How to Achieve High-Accuracy Results When Using LLMs

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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MOSTLY AI Launches $100K Synthetic Data Prize  

insideBIGDATA

Austrian synthetic data firm MOSTLY AI has launched a $100,000 prize challenge to raise awareness of how synthetic data can be used to create open-access datasets for businesses, AI developers and other organizations.

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Browser-Based XGBoost: Train Models Without Jupyter or IDEs

Analytics Vidhya

Nowadays, machine learning has become an integral part of various industries such as finance, healthcare, software, and data science. However, to develop a good and working ML model, setting up the necessary environments and tools is essential, and sometimes it may create many problems as well. Now, imagine training models like XGBoost directly in your […] The post Browser-Based XGBoost: Train Models Without Jupyter or IDEs appeared first on Analytics Vidhya.

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Why most enterprise AI agents never reach production and how Databricks plans to fix it

Flipboard

Many enterprise AI agent development efforts never make it to production and it’s not because the technology isn’t ready. The problem, according to Databricks, is that companies are still relying on manual evaluations with a process that’s slow, inconsistent and difficult to scale.

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Selling Your Side Project? 10 Marketplaces Data Scientists Need to Know

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 Selling Your Side Project? 10 Marketplaces Data Scientists Need to Know That app collecting dust on your GitHub?

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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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6 techniques to fix ChatGPT’s annoying habits

Dataconomy

You’ve experienced it. That flash of frustration when ChatGPT, despite its incredible power, responds in a way that feels… off. Maybe it’s overly wordy, excessively apologetic, weirdly cheerful, or stubbornly evasive. While we might jokingly call it an “annoying personality,” it’s not personality at all. It’s a complex mix of training data, safety protocols, and the inherent nature of large language models (LLMs).

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