Fresher / New Grad

Why cap each agent run with a cost-per-task budget?

What causes context pollution in a long-running agent?

Flashcard: what is an AI agent, in one sentence?

Flashcard: in the agent loop, what counts as an 'action' and how is it different from a thought?

Flashcard: how is agentic RAG different from single-shot RAG?

Flashcard: what is an 'agent runtime' and what does it do?

Flashcard: what is a tool in an LLM agent?

Flashcard: what does it mean when an LLM 'makes a tool call'?

Flashcard: what does zero-shot prompting mean and what makes it work at all?

Flashcard: what is Tree of Thoughts (ToT) prompting and what problem does it solve?

Flashcard: what does the temperature parameter do during LLM generation and how should you set it?

Flashcard: what is a stop sequence in an LLM API call and what is it used for?

Flashcard: what is the self-refine prompting pattern and what loop does it set up?

Flashcard: what is self-consistency prompting and what does it produce as a final answer?

Flashcard: what is the ReAct prompting pattern?

Flashcard: what is a prompt template and how does it differ from a prompt?

What does 'persona prompting' (or role-based prompting) actually do and where does it stop being useful?

Flashcard: what is JSON mode (response_format) in LLM APIs and what does it guarantee?

Flashcard: what is few shot prompting and what does the 'few' actually refer to?

Flashcard: what is chain-of-thought (CoT) prompting, in one sentence?

What does a model's 'context window' mean and what does it include?

Flashcard: what is a token in LLM prompting and why does it matter for cost and context?

What does the max_tokens parameter control in an LLM API call?

Flashcard: what is a vector database, and why does RAG need one?

Flashcard: what is similarity search in RAG, and how does it differ from keyword search?