Part 8/9:
Cost and Computational Feasibility
Another critical point arising from these discussions centers on the cost of running AI models. Advancements in computational efficiencies have dramatically lowered expenses for operating large models. For instance, the inference costs related to models such as GPT-3 saw a remarkable drop, facilitating broader accessibility to advanced AI applications.
As the trend continues, it poses vital questions about the feasibility of integrating complex reasoning and advanced AI techniques into everyday applications. The reduction in costs allows for more nuanced models that can perform multiple tasks simultaneously, fostering an environment for continuous improvement in intelligence capabilities within the AI arena.