Importance of a Well-Structured README.md File in a Data Science Portfolio project

Importance of a Well-Structured README.md File in a Data Science Portfolio project

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Explains my structure for the README.md file in projects. Why is it important to maintain a good README file? A well-structured README.md file in a data science portfolio project is important because it serves as the project’s primary documentation and first impression for potential employers, collaborators, and users. Its structure is crucial for effectively communicating the project’s value, methodology, and results. What is a README file? Who do you write the README file for? A README file is written for anyone […]

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Hacker who stole 120,000 bitcoins wants a second chance—and a security job

Hacker who stole 120,000 bitcoins wants a second chance—and a security job

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On Thursday, Ilya Lichtenstein, who was at the center of a massive 2016 crypto heist worth billions at the time, wrote online that he is now out of prison and has changed his ways. “Ten years ago, I decided that I would hack the largest cryptocurrency exchange in the world,” Lichtenstein wrote on LinkedIn, detailing a time when his startup was barely making money and he decided to steal some instead. “This was a terrible idea. It was […]

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Using generative AI to do multimodal information retrieval

Using generative AI to do multimodal information retrieval

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Using generative AI to do multimodal information retrieval With large datasets, directly generating data ID codes from query embeddings is much more efficient than performing pairwise comparisons between queries and candidate responses. Search and information retrieval Sungyeon Kim Xiaofan Lin June 25, 09:00 AM December 23, 03:48 PM For most of the past 10 years, machine learning (ML) relied heavily on the concept of embedding: an ML model would learn to convert input data into vectors (embeddings) such […]

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What Actually Happens to a 5G Network During a Hurricane

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Most people assume network problems during a disaster are about scale. Too many calls. Too much data. The pipe gets full and things slow down. That is not how it works. A single cell, one antenna on one site covering one critical area, can create a problem that ripples through an entire network when it starts behaving badly. During a hurricane, that cell might be covering an evacuation route. Or a hospital. Or the only neighborhood in the […]

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Building Production-Ready RAG Systems with Free LLMs: From Zero to Analysis-Ready in 6 Steps

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Introduction When I started exploring Retrieval-Augmented Generation (RAG) systems for incident analysis, I realized that jumping straight into paid APIs like Claude or OpenAI wasn’t practical for learning and experimentation. Instead, I wanted to build something completely local, free to run, and powerful enough to handle real production scenarios. This article documents my journey building a fully functional RAG system that analyzes production incidents by learning from past issues — without spending a dime on API calls. Everything runs on […]

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Quantizer-Aware Hierarchical Neural Codec Modeling for Speech Deepfake Detection

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arXiv:2603.16914v1 Announce Type: new Abstract: Neural audio codecs discretize speech via residual vector quantization (RVQ), forming a coarse-to-fine hierarchy across quantizers. While codec models have been explored for representation learning, their discrete structure remains underutilized in speech deepfake detection. In particular, different quantization levels capture complementary acoustic cues, where early quantizers encode coarse structure and later quantizers refine residual details that reveal synthesis artifacts. Existing systems either rely on continuous encoder features or ignore this quantizer-level hierarchy. We […]

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Notes on Pope Leo XIV’s encyclical on AI

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Dropped this morning by the Vatican: Magnifica Humanitas of His Holiness Pope Leo XIV on Safeguarding the Human Person in the Time of Artificial Intelligence. This is a very interesting document. It’s some of the clearest writing I’ve seen on the ethics of integrating AI into modern society. Pope Leo XIV chose the name Leo in honor of Pope Leo XIII, who is known for his 1891 Rerum novarum encyclical on “Rights and Duties of Capital and Labor”. […]

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Reliable Knowledge Extraction for AI Systems

Reliable Knowledge Extraction for AI Systems

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A design-patterns perspective on knowledge graphs and GraphRAG Knowledge graph extraction. Source: Chat GPT generation based on the article content. Introduction Have you run into a case where the model cannot answer a question while the answer is plainly somewhere in the documents, even with a retrieval pipeline connected? Or where an agent returns passages that read as relevant yet never mention the one term the customer actually asked about? Both are symptoms of the same gap: retrieval that returns text […]

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Ongoing RAM crisis prompts Raspberry Pi's second price hike in two months

Ongoing RAM crisis prompts Raspberry Pi’s second price hike in two months

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The ongoing AI-fueled shortages of memory and storage chips has hit RAM kits and SSDs for PC builders the fastest and hardest, meaning it’s likely that, for other products that use these chips, we’ll be seeing price hikes for the entire rest of the year, if not for longer. The latest price hike news comes courtesy of Raspberry Pi CEO Eben Upton, who announced today that the company would be raising prices on most of its single-board computers […]

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DPO pair: human-in-the-loop correction

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I’ve been thinking about an approach for fine-tuning/RL on limited data and I’m not sure it’s the right one , curious if anyone has done something similar. i need a model that generates document templates from structured input + a nl comment. The only data I have are existing compiled templates, no input/output pairs. The idea is to bootstrap with reverse engineering, feed each template to a strong LLM, extract the parameters that could have generated it, use […]

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