Kody Technolab Interview Questions
The questions to prepare for Kody Technolab interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design an eval framework for LLM quality, safety, usefulness, cost, and latency beyond perplexity.
Find the longest palindromic substring by expanding around every possible center in O(n²) time and O(1) space.
Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.
Design an LLM serving architecture that balances throughput, latency, batching, memory use, and reliability.
Explain encapsulation, abstraction, inheritance, and polymorphism, including how each works and how they differ in real code.
Compare MVC, MVVM, VIPER, and MVI, then select an appropriate pattern based on state, coupling, testability, and feature complexity.
Outline the main components of an LLM training data pipeline, from ingestion and cleaning to tokenization, quality checks, and orchestration.
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