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Prompt engineering is the practice of crafting and refining the instructions (prompts) given to an AI model to get the best possible output. It involves techniques like providing context, examples, and constraints to guide the model's response.
The quality of your prompt directly determines the quality of the AI's output — skilled prompt engineering can transform a mediocre result into an excellent one.
Instead of asking ChatGPT 'Write about marketing', a prompt engineer might write 'Act as a senior content strategist. Write a 500-word blog post about email marketing best practices for B2B SaaS companies, with three actionable tips.'
Large Language Model (LLM)
A large language model is an AI system trained on vast quantities of text data that can understand, generate, and reason about human language. LLMs use the transformer architecture and contain billions of parameters, enabling them to perform a wide range of language tasks.
ChatGPT
ChatGPT is an AI chatbot developed by OpenAI that uses large language models to generate human-like text responses. It can answer questions, write content, summarise documents, generate code, and assist with a wide range of language tasks.
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation is a technique that enhances a language model's responses by first retrieving relevant information from an external knowledge base, then using that information to generate a more accurate and grounded answer. It combines the strengths of search with generative AI.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.