Fine-Tuning OPT-350M For Extractive Summarization – CyberIQs
In this article, we will discuss the process of fine-tuning the OPT-350M language model specifically for extractive summarization. The OPT (Open Pretrained Transformers) series of language models, developed by Meta AI, is known for its next token prediction capabilities and is available in various model sizes. 
One of its key advantages is its open availability, making it comparable to models like GPT-3.
To delve deeper into the fine-tuning process of OPT-350M for extractive summarization, you can refer to this article.
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