Finding the right talent for GPT-scale projects is a significant challenge, as many companies face resource constraints in both personnel and finances. One example highlights a financial services firm struggling to keep pace with a competitor that has invested heavily in data science teams and infrastructure. By partnering with experts in algorithmic improvements, companies can quickly implement pre-trained models and stay updated with the latest advancements, ultimately gaining a competitive edge without the lengthy do-it-yourself approach.
