What is Large Language Models (LLMs)?
Large Language Models (LLMs) are AI models trained on massive volumes of text to understand and generate natural language. They power tools like ChatGPT, Claude and Gemini. For product professionals, leaders and agile teams, LLMs are no longer a tech curiosity: they have become a daily work tool, accelerating research, writing, feedback analysis, hypothesis generation and prototyping.
In practice
Each LLM has its own characteristics: some are better for long reasoning, others for speed, others for code. Knowing how to pick the right model for each task — and understanding how token-based pricing works — makes a real difference in cost and quality. Product teams use LLMs to summarize interviews, generate copy variations, analyze reviews at scale, write tests and even take automated decisions through agents. K21's Product AI courses show in practice how to pick models, save tokens and automate real product-management processes.
What happens when it is missing
Without understanding how LLMs work, professionals use AI tools as if they were search engines: ask one question, copy the first answer and move on. They miss the real gain, which comes from chaining context, picking the right model, giving examples and treating the AI like a colleague who needs a brief. The result is disappointment with AI — when in fact what was missing was method.
Related terms
Recommended K21 courses
Product AI: Evolving Product Management with AI
K21 · 16 hours
Product AI: Turning Ideas into Products with AI
K21 · 16 hours