Update README.md

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README.md

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 # JudgeIt (From SuperKnowa)- Automatic Eval Framework for Gen AI Pipelines
 
-The single biggest challenge in scaling any GenAI solution (such as RAG, multi-turn conversations, or query rewriting) from PoC to production is the last-mile problem of evaluation. Statistical metrics (like BLEU, ROUGE, or METEOR) have proven ineffective at accurately judging the quality of GenAI solutions, leaving human evaluation as the only reliable option for Enterprises. However, human evaluation is slow and expensive, making it impossible to scale quickly. This is where 'JudgeIt' comes in—a framework designed to mimic human judgment with equally high precision and recall.
+The single biggest challenge in scaling any GenAI solution (such as RAG, multi-turn conversations, or query rewriting) from PoC to production is the last-mile problem of evaluation. Statistical metrics (like BLEU, ROUGE, or METEOR) have proven ineffective at accurately judging the quality of AI generated text, leaving human evaluation as the only reliable option for Enterprises. However, human evaluation is slow and expensive, making it impossible to scale quickly. This is where 'JudgeIt' comes in—a framework designed to mimic human judgment with equally high precision and recall.
 
 JudgeIt is an automated evaluation framework built to accurately and efficiently assess various Generative AI pipelines, including RAG, multi-turn query rewriting (conversation memory), text-to-SQL conversion, and more. This service allows users to conduct batch evaluations across these different Generative AI pipelines. Users can input datasets containing generated text along with corresponding golden text. JudgeIt then employs an LLM-as-a-judge to perform similarity evaluations between these inputs, mimicking human evaluation and providing an accurate assessment of the GenAI pipeline's performance.