endl defined in std namespace (std::endl), inserts a newline character into the output sequence and flushes it.
Header files (.h) provide information that will be required in multiple files or in a module. Class declarations, function prototypes and enumerations typically go in header files.
//function.h void print_factorial(int n); int factorial(int n);
Code files (.cpp) contains the implementation that only needs to be known in one file. Function bodies and internal variables are implmented in .cpp files.
What is an AI agent and how does function calling / tool use work in LLM-based agents?
How do you fine-tune a model using the Hugging Face Trainer API?
What are vector databases and how do they enable semantic search in RAG pipelines?
How do you add conversation memory to an LLM application with LangChain?
How do you use the Hugging Face Datasets library for training and evaluation?
How does tokenisation work in Hugging Face and what are the key tokenizer concepts?
What are LangChain's core abstractions — Chains, Runnables, and the LangChain Expression Language?
What is the ReAct agent pattern and how does LangChain implement it?
How do you use the Hugging Face Inference API and the InferenceClient for production deployments?
What is LoRA and how does the Hugging Face PEFT library simplify fine-tuning large models?
What are Large Language Models (LLMs) and how do they generate text?
What is the Auto-class pattern in Hugging Face and how do you run inference with a raw model?
How do you build a complete RAG pipeline using LangChain?
How do you evaluate LLM outputs for quality, factual accuracy, and hallucination?
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