MBA Training AI

Most professionals using AI tools in 2026 have no idea what is actually happening inside them. Understanding the core mechanics of large language models does not require a PhD, and it changes how you use these systems productively.

Go deeper, free lessons

• What a model actually does: prediction, not understanding
• Tokens, training, and inference: what happens when you hit enter
• The context window: the model's working memory
• Hallucinations: why confident answers can be wrong
• What LLMs are great at (and what they are not)

Full article and transcript: https://www.mba-training.com/blog/llm-architecture-foundations-business

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Three platforms now dominate the enterprise AI landscape, but they are not interchangeable. Understanding what each does distinctively well is the difference between getting marginal productivity gains and genuinely transforming how you work.

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• The OpenAI model family: GPT, reasoning models, and when to use each
• The Claude model family: opus, sonnet, haiku, and when to use each
• The Gemini model family: pro, flash, and when to use each
• Building your personal AI workflow
• When AI helps and when it does not

Full article and transcript: https://www.mba-training.com/blog/chatgpt-claude-gemini-choose-ai-tool

MBA Training, mba-training.com

Large language models are no longer a curiosity, they are infrastructure. But understanding how they actually work is the difference between a power user and an expensive button-clicker.

Go deeper, free lessons

• What a model actually does: prediction, not understanding
• Hallucinations: why confident answers can be wrong
• Tokens, training, and inference: what happens when you hit enter
• The context window: the model's working memory
• Verifying outputs: trust but check

Full article and transcript: https://www.mba-training.com/blog/llm-foundations-professionals-strategic-use

MBA Training, mba-training.com