Prompt Engineering & Fine-tuning

Prompt engineering and fine-tuning are essential techniques in working with generative AI models, especially large language models (LLMs) like GPT. They allow users to guide AI outputs effectively and adapt models for specific tasks.

Prompt Engineering

Prompt engineering involves designing precise inputs (prompts) to elicit the desired response from an AI model. Well-crafted prompts improve output accuracy, relevance, and creativity.

Use clear and specific instructions
Provide context and examples
Iteratively refine prompts based on model responses

Fine-tuning

Fine-tuning adjusts pre-trained AI models using custom datasets for specialized tasks. This process enhances performance in domain-specific applications such as legal analysis, medical diagnosis, or customer support.