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README.md

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 # Flan-T5 (base-sized) Dialogue Summarization with reduced toxicity using RLAIF
-This model is a fine-tuned [Flan-T5 model](https://huggingface.co/google/flan-t5-base) on the [SAMSUM](https://huggingface.co/datasets/samsum) dataset.
-The Base Model(Flan-T5) is based on Pre-trained T5 (Raffel et al., 2020) and fine-tuned with instructions for better zero-shot and few-shot performance <br>
+This model is a fine-tuned [Flan-T5 model](https://huggingface.co/google/flan-t5-base) on the [SAMSUM](https://huggingface.co/datasets/samsum) dataset. <br>
+Which is further fine-tuned using Reinforcement Learning from AI Feedback(RLAIF). <br>
+Anthropic's Costitutional AI [paper](https://arxiv.org/abs/2212.08073) from 2022, provides some amazing insights into how RLAIF can be leveraged. Do check out if interested!<br>
 
-Our Model is fine-tuned specifically on a single downstream task of Dialogue Summarization on the above mentioned dataset with a primary objective of reduced toxicity while generating summaries.
+More, specifically I've fine-tuned this model on a single downstream task of Dialogue Summarization on the above mentioned dataset with a primary objective of reduced toxicity in generated summaries.
 
 ## Model description
 This Model has the same architecture and Parameters as its base model. Please refer to this [link](https://arxiv.org/abs/2210.11416) to know more about the model details.