The author is not looking for a complex labeling system, but rather a simple one that can identify and label passages that are relevant to organic chemistry. They are looking for a solution that is efficient and does not require them to create a new system from scratch. They are open to suggestions on the most suitable and affordable tools or services that can help them achieve this.
Key takeaways:
- The user has a corpus of scientific papers and wants to label segments that contain an application to organic chemistry.
- The labeling process is not very sophisticated and simply identifies if a passage contains an application to organic chemistry.
- The user is unsure if they need to train models to detect and label these segments or if they can feed the data into an LLM model with no prior training.
- The user is seeking recommendations for the best and cheapest services or libraries that can assist with this workflow without having to create a new system from scratch.