Creating Synthetic Experts with Generative Artificial Intelligence Daniel M. Ringel 707 חמווובו וIAי עI בו ©2024 Daniel M. Ringer © 2024 Daniel M. Ringel Synthetic Experts Classification is paramount in today's data rich Environment Organizations increasingly depend on machine learning to distill intelligence from vast amounts of unstructured data Sort items into specific categories based on their characteristics • News articles • Reports and policies Social media • Internal communications Classification models can swiftly identify constructs of interest in data . Sentiment • . . Opinions and arguments Type of rhetoric Product categories Versatility of classification models extends their utility across sectors and functions © 2024 Daniel M. Ringel Image by Midjourney/n Student note : Create a well-performing Synthetic Expert (see attached pdf to get an idea on how to create a Synthetic Expert) for a specific use case. Demonstrate its's accuracy and publish it on Hugging Face. You will have to spend considerable time creating a validation sample to demonstrate your synthetic expert's accuracy on. [Note provide me the model and provide the steps to publish the model on huggingface] Tutor can choose the specific usecase In the document it just tells about the steps to do it but the to create the actual synthetic expert we need to write a python code to develop the models (This part was not mentioned). On high level we need to create a synthetic expert similar to the mentioned example but not same tutor need to get pre trained model from the huggingface and need to train the model for the specific usecase and need to write the code for above this link shows the sample synthetic expert "https://huggingface.co/dmr76/mmx classifier microblog_ENv02"