How to understand everything regarding the math of LLMs?

<!-- SC_OFF --><div class="md"><p>Trigonometry problems for example. I know these are pure math problems and should be solvable without visualization, provided accurate and

<a href="https://news.ycombinator.com/item?id=49234675">Comments</a>

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1ta14o8/fields_medalwinning_mathematician_says_gpt55_is/"> <img alt="Fields medal-winning mathematician says

<!-- SC_OFF --><div class="md"><p>I understand the basic principle (it looks at a vast array of data and uses probability to predict the next word)</p> <p>but how the hell is that

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1wyxdtu/for_31_years_mathematicians_couldnt_finish_this/"> <img alt="For 31 years, mathematicians couldn’t

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1wvjetq/visual_math_of_an_llm/"> <img alt="Visual Math of an LLM"

<!-- SC_OFF --><div class="md"><p>I've been using chatgpt go plan for a while now and recently ive discovered mathos ai, which seems to be like gpt but focuses on math, i gave

<!-- SC_OFF --><div class="md"><p>The news about Ulysses Sequence Parallelism enabling million-token contexts is fascinating for local LLMs. While the potential for deeper context