Part 5/9:
Cohn explained that the scale of integration varies by company size and industry, with some businesses may already benefiting from AI in coding and software development, while others have yet to identify concrete use cases.
Small Models Versus Large Language Models
Addressing the concerns about the daunting costs of AI development, particularly in constructing large language models, Cohn mentioned that efficient solutions can often be found in smaller, targeted AI models. He highlighted the role of companies like DeepMind in proving that smaller models can perform efficiently and effectively, thus making state-of-the-art AI and machine learning capabilities accessible to a broader range of businesses without the prohibitive costs previously assumed.