February 1, 2025

Sharath Chandra Kovi: Initially, we were all excited about creating a large language model (LLM) for our project. But after looking into the training costs and other complexities, it seems like it might be too ambitious for us. What if we focus on creating a small language model instead
Naresh Narla: I agree, Sharath. The training costs for an LLM are indeed high, and we might face challenges with computational resources. A small language model is more feasible within our timeframe and resources. We can still make a significant impact with it.
Sri Lakshmi: Good point, Naresh. Plus, a smaller model will be easier to manage and fine-tune. We can focus on specific applications in the medical field, like diagnostic support or analyzing medical literature. This way, we can still achieve our goals without the added complexity.
Sharath Reddy Badam: I think we’re all on the same page. Creating a small language model sounds like a practical and effective approach. Let’s make sure we clearly define our objectives and roles so we can work efficiently towards our goal.