Why does an LLM generate a different output even if all the variables are held c

<!-- SC_OFF --><div class="md"><p>I saw <a href="https://www.reddit.com/r/HistoryMemes/comments/1w54alh/what_do_worms_eat/">this post</a> and noticed when I google &quot;what do

<!-- SC_OFF --><div class="md"><p>I am curious on why a major lab would build and release different model families at the same time and why would they build different models

<!-- SC_OFF --><div class="md"><p>Been noticing this more often lately while comparing different deployments of the same models.</p> <p>Most people assume model behavior is mostly

<!-- SC_OFF --><div class="md"><p>Please explain in simple terms, thank you. </p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/Astrokanu">

<!-- SC_OFF --><div class="md"><p>I’ve been thinking about the current AGI discussions, especially the debate between scaling language models and building embodied systems.</p>

<!-- SC_OFF --><div class="md"><p>Could you theoretically identify different LLMs based on a sample of writing from them, or do they all sound vaguely the same? </p> </div><!--

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1srx4i1/new_llm_position_bias_benchmark_does_an_llm_keep/"> <img alt="New LLM Position Bias Benchmark: does