anthropic 的题目

• Coding Q2 — File Deduplication
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• Coding Q3 — Stack Trace Reconstruction
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• Coding Q1 — Image Processing Pipeline
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• Coding Q2 — In-Memory Cache: Bug-Fix + Durability
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• Coding Q1 — Concurrent Web Crawler
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• Agents / Coding with LLMs
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• Coding Q6 — Longest-Match Tokenizer
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• OA — Recipe Manager (4-Level CodeSignal)
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• OA — Bank System with Transfer/Accept and Merge
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• Coding & Design — Weighted Data Batcher with Checkpointing
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• OA — In-Memory Database (4-Level CodeSignal)
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• Coding Q4 — Distributed Mode / Median
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• Coding — Bootloader Instruction Simulator (Fix the Loop)
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• OA — File Systems
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• OA — DNS Resolver (Fellows CodeSignal, Round 1)
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• OA — Task Manager (TTL + Snapshot)
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• OA — Worker / Employee Grant Management
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• RL Fundamentals — GRPO Debug
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• ML Programming Screen — QKV Attention & einsum
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• Prompting and Engineering with LLMs (Colab)
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• Performance Engineer Take-Home — Kernel Optimization
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• System Design Q1 — Inference API / Batched GPU Serving
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• System Design Q2 — Prompt Playground (Product Design)
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• Onsite Design Doc Review
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• System Design Q3 — Model Weight Distribution
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• System Design Q4 — 1-on-1 Chat System
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• System Design Q5 — Data Infrastructure
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• ML Configuration System
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• Culture Round — AI-Safety Alignment Behavioral
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• Hiring Manager Round — Behavioral & Collaboration
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• Project Deep-Dive — Technical Presentation
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• Recruiter Screen — Why Anthropic Deep-Dive
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• Mechanistic Interpretability Take-Home — Sample-Aspect Double Descent
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• ML Take-Home (4–5 hours)
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• Performance Modeling — Matmul Arithmetic Intensity
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• File Deduplication
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• Fix a Buggy LRU Cache Key Built from args and kwargs
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• Optimized Infection Simulation on a 2D Grid
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• Longest-Match Tokenizer with Unknown Token Merging
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• Multi-Level In-Memory Database with TTL and Time Travel
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• Stack Trace Suffix Matching
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• Find Duplicate Files in a File System
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• Find All Possible Recipes from Given Supplies
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• Find Duplicate Files by Content
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• Find Duplicate Files by Content
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• Fix Bootloader Program by Swapping One Instruction to Avoid Loop
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• DNS Solver Implementation (Round 1)
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• Debug / Fix an Extremely Randomized Trees (ExtraTrees) Implementation in NumPy
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• Task Management System (CRUD + Priority Ordering + User Quota + History Query)
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• Thread-Safe Linked List Task Queue Transformation
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• High-Concurrency Prompt Template Deduplication (Array + Hash Map)
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• LLM-Oriented String Processing (Technical Phone Screen)
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• Implement an LRU Cache
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• In-Memory Database with Backup and Restore
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• Basic SQL Exercise + Learning/Skill-Growth Discussion
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• Python Data Analysis on a Provided Dataset (Capacity Management Context)
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• Implement a UI From a Figma Mock in React + TypeScript
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• Implement an LRU Cache (HashMap + Doubly Linked List) and Debug an Existing Implementation
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• Implement a Weighted Data Batcher with Deterministic Save/Resume (DataRegistry Iterator Interface)
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• Image Processing Pipeline (Grayscale / Scale / Resize) with Performance Optimization
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• Find and Deduplicate Duplicate Files (by size and by content hash)
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• Single-thread Web Crawler, then Multi-threaded Crawler
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• File Deduplication (find duplicate files)
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• Web Crawler (single-threaded first, then concurrent)
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• Debug an LRU Cache Implementation + Persistence After Crash (Follow-ups)
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• Implement a Same-Domain Web Crawler with Deduplication (Sync + Async Follow-up)
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• Design a Data Batcher (Code & Design)
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• Debug three RL training bugs and discuss GRPO trade-offs and variants
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• Task Management System (4-part OA)
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• VO Q2 (Unclear: File Deduplication or LRU Cache)
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• Multithreaded Web Crawler (Thread-Safe)
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• Web Crawler (Same Host) — Single-threaded and Multi-threaded
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• Longest-Match Tokenization with UNK and Optional UNK-Run Compression
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• Route Multiple Prompt Calls to Multiple GPT Servers Using a Hash Table
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• In-Memory Database
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• Numpy Debugging Task
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• Process Cat Images
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• Python Class and Data Structures
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• Infection Simulation in a Grid
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• Web Crawler with Fragment Handling
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• Token Usage Calculation
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• Web Crawler Challenge
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• File Deduplication Using Hashing
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• Implement a Function 'get_when' in an In-Memory Database
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• Image Transformation using Python Libraries
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• RecipeManager Implementation
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• Efficient Model Deployment in a Cluster
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• LRU Cache Extension
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• Efficiency of Distributed Systems
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• Debugging Real-World Problem
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• Find Duplicate Files in a System
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• Web Crawler with Multithreading
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• Find Duplicate Files
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• Find Duplicate Files in a File System
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• File Profiler
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• Web Crawler with Asyncio
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• Web Crawler Implementation
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• Multi-threaded Web Crawler with URL De-duplication
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• Constant Latency Inference API for String List Processing
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• Find Duplicate Files by Content from Directory List
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