📌 AI in Multiple GPUs: Gradient Accumulation & Data Parallelism

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-23 | ⏱️ Read time: 9 min read

Learn and implement gradient accum and data parallelism from scratch in PyTorch

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📌 Build Effective Internal Tooling with Claude Code

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-23 | ⏱️ Read time: 10 min read

Use Claude Code to quickly build completely personalized applications

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📌 Optimizing Deep Learning Models with SAM

🗂 Category: DEEP LEARNING

🕒 Date: 2026-02-24 | ⏱️ Read time: 16 min read

A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of…

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📌 AI Bots Formed a Cartel. No One Told Them To.

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-24 | ⏱️ Read time: 11 min read

Inside the research that shows algorithmic price-fixing isn’t a bug in the code. It’s a…

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📌 Optimizing Token Generation in PyTorch Decoder Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-24 | ⏱️ Read time: 17 min read

Hiding host-device synchronization via CUDA stream interleaving

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📌 Decisioning at the Edge: Policy Matching at Scale

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-24 | ⏱️ Read time: 13 min read

Policy-to-Agency Optimization with PuLP

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📌 Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-25 | ⏱️ Read time: 21 min read

Understanding the foundational distortion of digital audio from first principles, with worked examples and visual…

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📌 How to Define the Modeling Scope of an Internal Credit Risk Model

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-25 | ⏱️ Read time: 9 min read

Dataset construction for Internal Ratings-Based (IRB) Probability of Default (PD) models

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📌 Scaling Feature Engineering Pipelines with Feast and Ray

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-25 | ⏱️ Read time: 11 min read

Utilizing feature stores like Feast and distributed compute frameworks like Ray in production machine learning systems

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📌 Breaking the Host Memory Bottleneck: How Peer Direct Transformed Gaudi’s Cloud Performance

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-25 | ⏱️ Read time: 9 min read

Engineering RDMA-like performance over cloud host NICs using libfabric, DMA-BUF, and HCCL to restore distributed…

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📌 A Generalizable MARL-LP Approach for Scheduling in Logistics

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-26 | ⏱️ Read time: 17 min read

Part 1. Hybrid Solution for Dynamic Vehicle Routing — Context and Architecture

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📌 Detecting and Editing Visual Objects with Gemini

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-26 | ⏱️ Read time: 34 min read

A practical guide to identifying, restoring, and transforming elements within your images

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📌 Designing Data and AI Systems That Hold Up in Production

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-02-26 | ⏱️ Read time: 6 min read

A system-level perspective on architecture, agents, and responsible scale

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📌 Take a Deep Dive into Filtering in DAX

🗂 Category: DATA ANALYSIS

🕒 Date: 2026-02-26 | ⏱️ Read time: 13 min read

Have you ever wondered what happens when you apply a filter in a DAX expression?…

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📌 Coding the Pong Game from Scratch in Python

🗂 Category: PROGRAMMING

🕒 Date: 2026-02-27 | ⏱️ Read time: 18 min read

Implementing the classic Pong game in Python using OOP and Turtle

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📌 Stop Asking if a Model Is Interpretable

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-27 | ⏱️ Read time: 6 min read

Start asking what question the explanation should answer.

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📌 Generative AI, Discriminative Human

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-27 | ⏱️ Read time: 14 min read

How to think critically about AI in an ocean of hype

#DataScience #AI #Python