Prompt engineering shapes GenAI outputs
Image: Lailson Bandeira, CC BY 2.0, via Wikimedia Commons
the system prompt does: sets persistent behavior instructions for the conversation
Prompt engineering shapes GenAI outputs
The practice gained importance during the AI boom of the 2020s, becoming a business capability to enhance productivity. Prompt engineers were employed to create effective prompts for GenAI applications.
Example
A prompt engineer might instruct a GenAI model to summarize a news article by providing a clear and concise prompt.
Remember this
Understanding prompt engineering is crucial for leveraging GenAI effectively in various professional contexts.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
Related concepts
Prompt engineering
The GenAI model learns tasks from examples in the prompt
Reasoning model
RLMs excel in logic, math, and programming tasks
instruction tuning does: fine-tunes on (instruction, response) pairs
Fine-tuning adapts pre-trained models to new tasks
Transformer (deep learning)
Transformers use multi-head attention for contextualizing tokens
QLoRA adds
Ever wondered how computers can understand and mimic human speech?
Retrieval-augmented generation
RAG enables LLMs to access new information without retraining
Swipe through 100 ML concepts daily
Open Pocket Polymath