Update README.md

Author: kunal-savvy

README.md

@@ -35,9 +35,7 @@ To ensure reliability, the JudgeIt framework has been rigorously tested against
 For RAG evaluation, this process involved building a dataset of thousands of real-life Q&A pairs in Enterprise setting, then collected golden answers, RAG answers, and human evaluations of the similarity between the RAG and golden answers. Using Meta’s Llama-3–70b as an LLM Judge, JudgeIt was able to show consistely above 90% F1 scores across different RAG pipeline evaluations compared to human evaluations with 20+ enterprise Q&A tasks. 
 
 #### Query-Rewrite Evaluation Reliability Metrics (2 Turn)
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 For Multi-turn evaluation, this process involved building a dataset of user queries, conversation memory history including a previous question and previous answer, golden rewritten queries, generated rewritten queries, and human evaluations of the similarity between the generated rewritten queries and golden answers. Using Meta’s Llama-3–70b as an LLM Judge, JudgeIt was able to achieve the near 100% precision.