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A reasoning model is tuned to perform multi-step problem solving, planning, and logical decomposition rather than only fluent text generation.
Reasoning-focused models are often better for coding, math, and analytical workflows where correctness depends on structured thinking.
An engineering team routes debugging tasks to a reasoning model to improve root-cause analysis quality.
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.
Prompt Engineering
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.
System Prompt
A system prompt is a high-priority instruction layer that sets the assistant's role, behaviour, and boundaries before user input is processed.
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.