How does a probabilistic model work? A probabilistic model is a type of model that makes predictions and decisions based on likelihoods rather than fixed […]
Alphabets: P
What is prompt engineering?
How does prompt engineering work? Prompt engineering is the practice of designing and structuring inputs (prompts) so that a large language model (LLM) produces the […]
What is pre-training?
How does pre-training work? Pre-training is the process of teaching a machine learning model general knowledge first, before adapting it to a specific task. Instead […]
What is parameter-efficient fine-tuning?
How does parameter-efficient fine-tuning work? Parameter-efficient fine-tuning (PEFT) is a set of techniques used to adapt large pre-trained models—such as large language models—by training only […]