Lateral-thinking

Generative AI is transforming the landscape of machine learning by enabling the creation of new content that can mimic human-like capabilities. One of the most powerful forms of generative AI is the Large Language Model ( LLM ), which can understand and generate human language with remarkable proficiency. A key feature of LLMs is their ability to be re-trained or fine-tuned on custom data sets. This allows organizations to tailor the model's responses to specific domains or use cases. For instance, a legal firm could train an LLM on legal documents to assist in drafting contracts, while a medical research company could train it on scientific papers to generate new research hypotheses. The process of re-training an LLM involves several steps. First, a suitable data set must be curated. This data set should be large enough to cover the desired scope and diverse enough to enable the model to learn various patterns and nuances. Next, the model must be fine-tuned, which involves adj