AI & LLM
Modern AI: LLMs, prompt engineering, RAG, agents
Open "AI Fundamentals"
AI Fundamentals
AI/ML/DL, foundation models, multimodal, ethics
20 questions
Open "LLM Internals"
LLM Internals
Transformer, attention, tokens, context window, sampling
26 questions
Open "Prompt Engineering"
Prompt Engineering
Few-shot, chain-of-thought, structured output, prompt injection
17 questions
Open "RAG & Embeddings"
RAG & Embeddings
Embeddings, vector DB, chunking, hybrid search, reranking
28 questions
Open "Agents & Tool Use"
Agents & Tool Use
Function calling, ReAct, MCP, multi-agent, memory
23 questions
Open "OpenAI/Anthropic API"
OpenAI/Anthropic API
SDKs, streaming, structured output, prompt caching, security
21 questions
Open "LLM Security"
LLM Security
OWASP LLM Top 10, prompt injection, tool-call hardening, red teaming
10 questions
Open "LLM Observability"
LLM Observability
Tracing, token spend, latency, in-production quality evaluation and incident response
10 questions