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LLM Inference Interview Questions #18 - The Log-Linear Inference Trap
Why using Best-of-N to boost agent performance quietly bankrupts your QPS budget, and the elite-level difference between buying benchmark points and…
7 hrs ago
•
Hao Hoang
8
1
5
LLM Inference Interview Questions #17 - The Reasoning Budget Trap
How maximum thinking time kills user retention by minute four, and the "escalate-on-failure" trick that buys 58% success rates without the 11-minute…
Aug 17
•
Hao Hoang
12
1
5
📘 The RAG Interview (Official Release) + Free Part V
A deep dive into vector index economics, the exact reasoning expected when a retrieval interviewer changes one constraint on you.
Aug 16
•
Hao Hoang
11
LLM Inference Interview Questions #16 - The Warm-Start Trap
Why initializing your agent with SFT before RL guarantees a flatlined reward curve, and why skipping straight to cold-start RL builds a more resilient…
Aug 15
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Hao Hoang
13
1
5
LLM Inference Interview Questions #15 - The Abstention Collapse Trap
How rewarding parameter overlap silently destroys your agent's ability to say "I don't know", and why you must grade the outcome, not the trace.
Aug 14
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Hao Hoang
9
1
5
LLM Inference Interview Questions #14 - The Context Poisoning Trap
Why leaving failed tool calls in your prompt silently builds a degenerate attractor, and how pruning the transcript saves your agent from endless…
Aug 13
•
Hao Hoang
10
1
5
LLM Inference Interview Questions #13 - The AST Sandbox Trap
Why relying on code denylists to secure your LLM agents silently exposes your entire application, and the kernel-level isolation you actually need to…
Aug 11
•
Hao Hoang
9
1
5
LLM Inference Interview Questions #12 - The Top-k Distractor Trap
Why feeding your agent more API choices quietly destroys selection precision, and how adding a simple abstention path stops silent substitution in its…
Aug 10
•
Hao Hoang
9
1
5
LLM Inference Interview Questions #11 - The Redundant Tool Paradox
When higher eval scores just mean your model learned a copy shortcut. Why utility-under-the-prior is a flawed proxy, and how to mine the hard negatives…
Aug 9
•
Hao Hoang
9
1
5
LLM Inference Interview Questions #10 - The JSON Serialization Trap
Why stuffing multi-line code into JSON strings silently pushes your model off-manifold, and how separating the metadata envelope from the raw payload…
Aug 8
•
Hao Hoang
10
1
5
LLM Inference Interview Questions #9 - The Semantic Collision Paradox
The hidden reason your agent struggles with heavy tool usage, and why you should be routing, merging, and aggressively protecting your KV cache instead…
Aug 7
•
Hao Hoang
11
1
5
LLM Inference Interview Questions #8 - The Multi-Agent Trap
Why dividing labor across planner, coder, and QA agents creates a lossy maintenance nightmare, and how elite teams unlock true multi-agent scaling…
Aug 6
•
Hao Hoang
11
1
5
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