By now, people all over the world know that large language models (LLMs) are special machine learning models that can generate useful new content from the data they are trained on. In addition to that, the LLMs today also exhibit the ability to understand context, draw logical inferences from data, and connect various pieces of information to solve a problem. These characteristics enable an LLM to act as a reasoning engine.
So how does an LLM solve a common business math problem afghanistan phone number list by evaluating information, generating a plan, and applying a
Let’s say a coffee shop owner wants to know how many coffees she needs to sell per month to break even. She charges $3.95 per cup, her monthly fixed costs are $2,500 and her variable costs per unit are $1.40.
Round up to nearest whole number.
Break-even point = 981 coffees
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