While large language models continue to advance, new models and agents are proving to be more effective at discrete tasks. AI needs different horses for different courses.
By Kelly Raskovich, Bill Briggs, Mike Bechtel, Abhijith Ravinutala, Deloitte
Blink and you’ll miss it: The speed of artificial intelligence’s advancement is outpacing expectations. Last year, as organizations scrambled to understand how to adopt generative AI, we cautioned Tech Trends 2024 readers to lead with need as they differentiate themselves from competitors and adopt a strategic approach to scaling their use of large language models (LLMs). Today, LLMs have taken root, with up to 70% of organizations, by some estimates, actively exploring or implementing LLM use cases.
But leading organizations are already considering AI’s next chapter.
