AI Career

What are Context Graphs?

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Knowledge Graphs and their limitations With the rapid growth of AI applications, Knowledge Graphs (KGs) have emerged as a foundational structure for representing knowledge in...

AI Interview Series #5: Prompt Caching

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Question: Imagine your company’s LLM API costs suddenly doubled last month. A deeper analysis shows that while user inputs look different at a text level,...

AI Interview Series #4: Explain KV Caching

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Question: You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer...

AI Interview Series #4: Transformers vs Mixture of Experts (MoE)

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Question: MoE models contain far more parameters than Transformers, yet they can run faster at inference. How is that possible? Difference between Transformers & Mixture of...

AI Interview Series #3: Explain Federated Learning

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Question: "You're an ML engineer at a fitness company like Fitbit or Apple Health. Millions of users generate sensitive sensor data every day — heart rate,...

AI Interview Series #2: Explain Some of the Common Model Context...

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In this part of the Interview Series, we’ll look at some of the common security vulnerabilities in the Model Context Protocol (MCP) — a...

AI Interview Series #1: Explain Some LLM Text Generation Strategies Used...

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Every time you prompt an LLM, it doesn’t generate a complete answer all at once — it builds the response one word (or token)...

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