How to build an AI agent for your business: Step 4 – Tokens, prompts, context, and costs скачать в хорошем качестве

How to build an AI agent for your business: Step 4 – Tokens, prompts, context, and costs

In Step 4 of How to build an AI agent for your business, we break down how large language models (LLMs) actually process information and what that means for quality, performance, and cost control when building AI agents. This episode covers: What an LLM (large language model) is and how it works How LLMs read text using tokens Why tokens matter for accuracy, speed, and pricing How token usage affects costs across different AI models Using the OpenAI tokeniser to estimate and manage usage What a prompt is and what makes a good prompt How prompt structure drives output quality What 'context' means in AI systems and how it influences responses Practical ways to keep AI agent costs predictable and controlled This session is essential for anyone building AI agents in a business setting, helping you understand why some AI workflows perform well — and why others become expensive, inconsistent, or unreliable. About the Help to Grow: Management Course This video series draws on practical digital and leadership insights aligned with the Help to Grow: Management Course, a 12-week business leadership course designed to help SME leaders improve productivity, adopt digital technologies, and build sustainable growth strategies. Delivered by leading UK business schools and supported by government funding, the course covers: Leadership and strategy Digital adoption and AI Innovation and business growth Financial management Eligible businesses can access the course with 90% government funding. 👉 Learn more and apply here: https://smallbusinesscharter.org/help...