Ravi Sir's Cards › Generative AI
What are parameters, and is a bigger model always better?
Interview Q&A card: What are parameters, and is a bigger model always better? Parameters are the numbers inside a model that training adjusts; they store what it learned. Models range from a few billion to hundreds of billions of parameters. More parameters usually means more skill, but also more cost and slower answers.
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Interview Q&A card: What are parameters, and is a bigger model always better? Parameters are the numbers inside a model that training adjusts
they store what it learned. Models range from a few billion to hundreds of billions of parameters. More parameters usually means more skill, but also more cost and slower answers.
Learn this in the lesson: What Is an LLM? Large Language Models Explained Simply