In probability theory, the joint law of two or more random variables is a description of the probability distribution that captures the likelihood of different combinations of outcomes for these variables.
In probability theory, the joint law of two or more random variables is a description of the probability distribution that captures the likelihood of different combinations of outcomes for these variables.
Understanding LLMs, image generation, prompting and more.
© 2024 User's Guide to AI
[email protected]Advance your understanding of AI with cutting-edge insights, tools, and expert tips.