But most organizations don’t have the resources, financial and human, to build and train their own domain-specific models from the ground up. Fine-tuning existing LLMs requires considerable time and skills beyond the capabilities of mid-size enterprises, even though it needs less compute power and data than building from scratch. Prompt tuning and prompt engineering are the most common and straightforward approaches. Rather than modifying model parameters, these techniques consume far less re...
To read the content, please register or login
