Stumbling into AI: Part 2—Models
Explores the role of Large Language Models (LLMs) in AI, covering major model families, providers, and concepts like hallucinations.
Explores the role of Large Language Models (LLMs) in AI, covering major model families, providers, and concepts like hallucinations.
A guide to using a shared variable file pattern in Azure Bicep to simplify and automate Azure RBAC role assignments with IntelliSense support.
A guide to creating custom chat modes in GitHub Copilot, with examples for Azure Bicep to define specialized AI agent roles.
Explains how ToDictionaryAsync in Entity Framework Core retrieves entire database objects, impacting performance, and provides a solution using Select.
A developer shares a personal productivity hack: using a browser bookmarks folder to aggregate and manage all their online feeds and sites.
A talk from DjangoCon US 2025 explaining how to use Django 5.0's new GeneratedField, which computes values in the database.
A guide explaining how to export your Google Maps Timeline data from an Android phone to a JSON file, and mentions tools to convert it to GPX.
A beginner's guide to using npm packages and bundling JavaScript code for web development projects.
A tutorial on training a neural network in JavaScript to solve ASCII mazes using the brain.js library.
A curated list of 9 top engineering blogs from major tech companies, detailing how they build and scale real-world AI systems.
A web developer's ongoing internal debate about replacing WordPress with a custom-built CMS, weighing bloat and control against convenience.
A hands-on tour of Java 25's new features for developers, including language upgrades, concurrency tools, and performance improvements.
Analysis of a new global building dataset (2.75B structures), detailing the data processing, technical setup, and tools used for exploration.
A live coding session demonstrating the rapid development of 'Arena', a feature for analyzing user compatibility via Twitter/X data, using AI-assisted tools.
A hands-on guide to understanding and implementing the Qwen3 large language model architecture from scratch using pure PyTorch.
A hands-on tutorial implementing the Qwen3 large language model architecture from scratch using pure PyTorch, explaining its core components.
Explores the shift from RLHF to RLVR for training LLMs, focusing on using objective, verifiable rewards to improve reasoning and accuracy.
Explains why over-reliance on automatic retries can harm low-latency platforms and advocates for fundamental resiliency practices.
A guide to implementing semantic search for static websites using Amazon S3 Vector Buckets and Microsoft's Semantic Kernel for embedding generation.
Qodo AI's new Package Health Reviewer uses Snyk Advisor to automate security and maintenance checks for open-source dependencies in CI/CD pipelines.