Tech

Technical Details: BSGAL Training, Swin-L Backbone, and Dynamic Threshold Strategy

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Table of Links Abstract and 1 Introduction Related work 2.1. Generative Data Augmentation 2.2. Active Learning and Data Analysis Preliminary Our method 4.1. Estimation of Contribution in the Ideal Scenario 4.2. Batched Streaming Generative Active Learning Experiments and 5.1. Offline Setting 5.2. Online Setting Conclusion, Broader Impact, and References A. Implementation Details B. More ablations … Read more

Beyond Being Shadowbanned: Instagram’s Process of Demoting and Deleting Posts

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The Markup, now a part of CalMatters, uses investigative reporting, data analysis, and software engineering to challenge technology to serve the public good. Sign up for Klaxon, a newsletter that delivers our stories and tools directly to your inbox. إقرأ/ي هذا المقال باللغة العربية For the last seven years, Nabeel Shah has used Instagram as … Read more

The AI-Everywhere Architecture: Building Services That Collaborate With LLMs

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We’re past the “Call the OpenAI API, get text back, done” phase. That was last year’s hackathon project. Today’s battlefield is the AI-Everywhere Architecture – a system where your microservices, databases, and application logic aren’t just using an LLM; they’re collaborating with it. This shift demands a new system design playbook. It’s no longer about … Read more

If Your Documentation Takes Two Clicks to Open, Congrats – It’s Already Outdated

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Over the years, I’ve worked on all kinds of projects—big, small, chaotic, overengineered, “temporary,” allegedly well-structured, and everything in between. And yet one pattern has been hilariously consistent: The documentation is always missing, outdated, or buried in some forgotten corner of Confluence guarded by a 2019 timestamp. Every project claims to have documentation. Every team … Read more

PDFs to Intelligence: How To Auto-Extract Python Manual Knowledge Recursively Using Ollama, LLMs

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We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the official Python manuals—into precise, structured, and queryable tables, using the open-source CocoIndex framework and state-of-the-art LLMs (like Meta’s Llama 3) managed locally by Ollama. If this tutorial is helpful, star the … Read more

BSGAL: Gradient-Based Screening for Long-Tailed Perception Tasks

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Table of Links Abstract and 1 Introduction Related work 2.1. Generative Data Augmentation 2.2. Active Learning and Data Analysis Preliminary Our method 4.1. Estimation of Contribution in the Ideal Scenario 4.2. Batched Streaming Generative Active Learning Experiments and 5.1. Offline Setting 5.2. Online Setting Conclusion, Broader Impact, and References A. Implementation Details B. More ablations … Read more