Sector file // ai-engineering
AI ENGINEERINGDECODED.
Prompts, RAG, agents & evals
Easy
6 questionsWhat are embeddings and what are they used for?
AI Engineering · 974 views · embeddings, vectors, semantic-search
What belongs in the system prompt versus the user message?
AI Engineering · 795 views · system-prompt, roles, prompting
Context windows in 2025-26: how do you use 128k-1M tokens without drowning?
System Design · 604 views · context-window, long-context
What are hallucinations and what causes them?
AI Engineering · 303 views · hallucination, grounding, reliability
What is the difference between zero-shot, one-shot and few-shot prompting?
AI Engineering · 192 views · few-shot, zero-shot, in-context-learning
How do you choose the right model for a task?
AI Engineering · 110 views · model-selection, routing, cost
Medium
16 questionsHow do you build resilient LLM calls with rate limits, retries and fallbacks?
AI Engineering · 1.2k views · rate-limits, retries, fallbacks
What is the difference between a base model, an instruction-tuned model and a chat model?
AI Engineering · 1.1k views · base-model, instruction-tuning, rlhf
Embeddings in 2025-26: how do you choose model, dimensions, and distance?
System Design · 972 views · embeddings, matryoshka
What are reasoning models and when should you use them?
AI Engineering · 912 views · reasoning, models
How do multimodal models handle images, audio and other non-text inputs?
AI Engineering · 872 views · multimodal, vision, audio
Tool calling vs function calling vs structured output — what changed in 2025?
System Design · 780 views · tool-calling, function-calling
How do temperature, top-p and other sampling parameters affect output?
AI Engineering · 722 views · temperature, top-p, sampling
Prompt caching in 2025: how do you cut cost with Anthropic & OpenAI caches?
System Design · 590 views · prompt-caching, cost
Hard
4 questionsHow would you design a production RAG pipeline end-to-end in 2025-26?
System Design · 859 views · rag, architecture, retrieval
Fine-tune vs RAG vs prompt engineering: how do you choose in 2025-26?
System Design · 360 views · finetune, rag
What techniques reduce LLM latency at each stage of a request?
AI Engineering · 241 views · latency, ttft, performance
What is red-teaming an LLM application and how is it done?
AI Engineering · 178 views · red-teaming, security, jailbreak
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