Large Language Models (LLMs) have opened up exciting new possibilities for organisations in the field of artificial intelligence (AI), including enhanced decision-making, streamlined processes, and ground-breaking innovation.
Leading companies like Zendesk, Slack, Goldman Sachs, GitHub, and Unilever have used LLMs to enhance customer service, streamline coding processes, and effectively respond to consumer queries. However, given their strength, LLMs frequently prove inadequate when faced with the particular complexities of an organisation’s environment.
Training issues with refined AI models
Businesses have resorted to employing organisation-specific data to fine-tune LLMs in order to conquer such challenges, resulting in highly customised AI models.
These fine-tuned models provide a customised AI experience that significantly improves organisational performance.