In this podcast episode, the hosts explore the current landscape of enterprise adoption of Large Language Models (LLMs). They highlight how advancements in hardware and software are making LLM development more accessible, even for smaller teams. While NVIDIA leads the hardware market, competition is on the rise. The conversation also emphasizes the growing trend of custom-trained models that can outperform general-purpose options like GPT-4 in specific areas, underscoring the need for high-quality, domain-specific data. Lastly, the speakers address the rapidly changing nature of LLMs, noting their short lifespan of about six months and the ongoing development cycles necessary for businesses to leverage them effectively.
