From c6ec8aca3691bc6081665679fd95fbcce5bc6b70 Mon Sep 17 00:00:00 2001 From: aethrvmn Date: Fri, 4 Oct 2024 14:40:50 +0200 Subject: [PATCH] Fixed wording --- content/_index.md | 3 --- 1 file changed, 3 deletions(-) diff --git a/content/_index.md b/content/_index.md index 26df033..4c9baa5 100644 --- a/content/_index.md +++ b/content/_index.md @@ -1,7 +1,6 @@ --- title: Lyceum type: docs -bookToC: false --- # Welcome to Lyceum @@ -10,8 +9,6 @@ bookToC: false Lyceum is a Reinforcement Learning (RL) playground designed for natural language processing (NLP) experimentation. Just as Gymnasium provides environments for RL agents to train, Lyceum is the place where RL agents learn. Imagine a school where RL agents enroll in classes to master subjects like language, math, even philosophy, and then unwind at after-school clubs like chess, where they can test their decision-making skills. -Welcome to Lyceum! - ## Why Lyceum? *** Modern NLP solutions like GPTs and BERTs have made great strides in language processing and generations, however they come with serious limitations. Even though a LLM can describe or make a game of chess, and even justify moved made, it is unable to *play* it. Why? Because there's no underlying mechanism for decision-making or reward-incentives during training. Transformers rely on static token distributions without real-time feedback, limiting their capacity to *actively* learn.