LLM pre-training vs post-training for product managers

Understanding LLM pre-training vs post-training is essential for product managers to manage AI budgets and timelines effectively. Pre-training is like a student spending years reading millions of books to build general knowledge, costing millions and taking months. Post-training is on-the-job training where the model learns your company tone and safety rules in days for a fraction of the cost. An AI keeps its general facts and stacks new instructions on top of its base brain. A pre-trained model writes a general email, while a post-trained model uses your legal-approved support voice. Rent the base model and spend your budget on post-training with your own helpdesk tickets and wikis. In this lesson: - Cost and timeline differences between building and tuning models - Why base models retain general facts while learning specific tasks - Using internal wikis and helpdesk tickets for on-the-job training - When to rent foundation models instead of paying for pre-training U2xAI Academy - AI skills for product managers.