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Explore algorithm tutorials, coding and system design questions, interview experiences, and computer science study guides.
2,099 resources · Page 1 of 88
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0-1 BFS Interview Questions: Deque Ordering, Relaxation, and Minimum-Cost Paths
Practice 0-1 BFS with an original deque trace, a counterexample to ordinary BFS, careful relaxation rules, complexity analysis, and a Dijkstra oracle.
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Large Language Models (LLMs): Fundamentals (1)
This guide covers fundamentals of large language models, including architectural choices, training objectives, scaling behavior, capability…
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LLMs Training Experience Notes (10)
This resource covers distributed LLM training topics such as framework selection, multi-node scaling strategies, memory and model/data parallelism…
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10 Technical Interview Questions for Data Analyst in 2026
This guide presents 10 technical interview questions for data analysts in 2026, covering metrics and grain, data shaping (joins, filters, null…
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Large Models (LLMs): LangChain Overview (11)
This guide covers LangChain concepts and practical usage within LLM systems, including components and patterns for prompt management…
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Techniques for Enabling Long-Term Memory in Multi-Turn Conversations with AI (12)
This guide covers techniques for enabling long-term memory in multi-turn AI conversations, including memory representations and indexing…
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15 Coding Patterns That Crack Any FAANG Interview
Learn the 15 coding interview patterns that still matter in 2026, with cues, costs, and LeetCode drills for faster problem recognition.
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15 FAANG Behavioral Interview Questions (And How to Actually Answer Them)
This guide covers 15 FAANG-style behavioral interview questions, common question archetypes and rubrics, story-structuring techniques…
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一亩三分地面经看不了？大米、阅读权限与其他备考资源
一亩三分地面经看不了？弄清大米、蓝莓与阅读权限的区别，排查回复后仍隐藏、付款未生效等问题。
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LLM (Layer Normalization – Methods) (2)
This technical guide examines normalization in deep Transformer architectures, comparing LayerNorm and DeepNorm, explaining their mathematical…
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20 Common Meta Behavioral Interview Questions (2026)
This guide presents the 20 behavioral questions most commonly asked in Meta's "Jedi" round, maps each question to Meta's six core values, and outlines…
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2027 OA Deadline Benchmark: How Much Time 50 Companies Give Candidates
2027 OA Deadline Benchmark: How Much Time 50 Companies Give Candidates. Practical, evidence-aware guidance with clear limits, examples, and next steps.
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2027 SWE Internship OA Release Calendar: When Major Companies Send Assessments
See when major companies began sending 2027 SWE internship OAs, with dated public reports, later waves, evidence limits, and preparation advice.
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LLMs – Activation Functions (3)
The resource examines feed-forward network (FFN) blocks in Transformer architectures, focusing on activation functions, gated FFN designs…
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37signals Programmer Take-Home: Scope a Small Project and Explain the Trade-Offs
Prepare for a 37signals programmer take-home by scoping a small complete project, testing its core path, and explaining deliberate trade-offs.
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趨勢科技軟體工程師面試準備：程式題、專案深挖與資安產品情境
趨勢科技軟體工程師面試準備：區分官方校園招募與個別面經，用資安事件的租戶隔離、重送、衝突和錯誤處理練習程式、專案深挖與產品取捨。
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軟體工程師面試怎麼準備？依職缺把程式題、專案與設計排出優先順序
軟體工程師面試準備指南：從職缺責任、已確認面試任務與實際缺口，安排程式題、專案和設計的優先順序。用三份虛構職缺、兩份十二小時預算與六小時修訂例，說明有限時間應留下哪些可驗證成果。區分職級、任務形式和真實個人貢獻，不推定臺灣公司統一流程，並以五個相關題目檢查準備是否符合下一輪需求。
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LLM (Attention – Advanced Topics) (4)
This guide covers advanced attention topics in large language models, including transformer self-attention, multi-head attention, positional…
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LLM (Transformers) (5)
This tutorial covers working with BERT outputs, explaining how BERT representations are produced, methods for extracting and analyzing token-…
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LLMs – Loss Functions (6)
This guide explains KL divergence, cross-entropy, and classification loss functions with a concept-first approach to build intuition…
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LLM (Similarity Functions) (7)
This guide covers similarity measures and contrastive learning for LLMs, including embedding spaces, similarity functions, contrastive loss…
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Large Language Models (LLMs) – Advanced Topics (8)
This guide covers advanced LLM generation mechanics, common failure modes like repetition and hallucination, decoding and sampling strategies…
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Large Language Models (LLMs) – Fine-Tuning (9)
This guide covers real-world fine-tuning of large language models, including memory budgeting, data strategy, mitigation of catastrophic forgetting…
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A/A Testing Interview Questions: False Positives, Calibration, and Pipeline Failures
Practice A/A testing interview questions with a seeded false-positive simulation, calibration checks, and three experiment pipeline failure diagnoses.