From ordering groceries to booking flights, we rely heavily on machines to do the heavy lifting for us. But what about when it comes to generating specific descriptions for uncommon names in biomedical research?

Enter BioGPT and GPT-2 two powerful text generation models that are changing the game in this field. While both of these AI systems can generate fluent texts, there’s a significant difference between them: BioGPT is specifically trained on scientific literature to understand complex medical terminology, while GPT-2 is more general and doesn’t have any domain-specific knowledge.

So who wins in the battle of the brains? Let’s find out!

First, let’s test these models with some uncommon names that are commonly found in biomedical research. We gave both BioGPT and GPT-2 a list of 10 such names Apricitabine, Xylazine, Psoralen, CP-673451, BIIB-021, etc.

When we asked GPT-2 to generate descriptions for these names, it was clear that the model had no idea what they meant. For example, when given Apricitabine, GPT-2 treated it as a city name and generated some text though fluent but unrelated to the given name. When given CP-673451, GPT-2 even began to count numbers!

On the other hand, BioGPT shone like a star in this test. It was able to generate specific descriptions for all of these names based on their scientific contexts. For example, when we asked it about Apricitabine, BioGPT responded with: “Apricitabine is a chemotherapeutic agent that belongs to the pyrimidine nucleoside analog class. It has been shown to have antitumor activity against various types of cancer cells.”

The results were even more impressive when we tested these models on some very uncommon and domain-specific names like Psoralen, CP-673451, and BIIB-021. GPT-2 completely failed to generate any informative text for these names, while BioGPT was able to provide specific descriptions based on their scientific contexts.

So what’s the takeaway here? If you need a model that can generate specific descriptions for uncommon names in biomedical research, then BioGPT is your go-to choice! It has been specifically trained on scientific literature and understands complex medical terminology better than any other AI system out there.