@ContrarianinKor

How to increase accuracy in the age of agents (with Grokbot): Hallucination in LLMs is closer to a principle than a side effect. Because LLMs inevitably involve prediction, fact-based answers and plausibly written text are generated by the same mechanism. While chatting with AI or writing a novel, moderate hallucination can add fun, but for real work, it poses many major problems. So humans had to verify important tasks, but in such cases, humans often become the bottleneck, as human verification speed is the slowest. However, with the advent of Grokbot, which allows the use of multiple AI Agents, several ways to further increase accuracy have emerged. Today, I'll share the method I use, and it's actually quite simple. Goal: Take the earnings of all companies in the S&P 500 and generate outputs not typically found in the earnings reports, such as P/E Ratio, EV/EBITDA, PSR, etc.