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Understanding Large Language Models: A Journey Through Anthropic's Research

An AI Engineer's Guide to the Inner Workings of Modern AI Systems

Table of Contents

Part I: Foundations - Building Safe and Helpful AI

• Chapter 1: The Quest for Helpful, Honest, and Harmless AI
• Chapter 2: Training AI with Human Values - RLHF Fundamentals
• Chapter 3: Constitutional AI - Teaching Machines Ethics

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Gist: Code Review Best Practices for Our Team (2025)

Purpose: Elevate code quality, collaboration, and efficiency through effective code reviews. These practices are designed for our team to ensure consistency, mentorship, and high standards.

1. Set Clear Review Goals

• Align reviews with project priorities (e.g., correctness, scalability, security).
• Use stack-specific checklists (e.g., TypeScript lint rules, Rust safety checks).
• Example: For APIs, verify contract clarity; for UI, ensure accessibility.

2. Keep Pull Requests Small

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Git Merge Strategies: A Visual Guide

This guide explains the common Git merge strategies with their pros, cons, and simple text-based visuals.

Starting Point Reference

Most examples assume the following starting repository state:

      A---B---C (main)

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Core Concepts in Data Flow Systems: A Comprehensive Guide

1. Data Parallelism: The Foundation of Scalable Processing

Core Principles

Data parallelism enables processing large datasets by splitting work across multiple computing resources. This concept underlies most modern data processing frameworks.

Key Components

1. Data Partitioning