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AI innovations, evolution, and economic uncertainties have brought latent fears that have shaped a future state where crucial automation terms are conspicuously absent. Looking again at the Hype Cycle from Innovators to Skeptics, this journey propels the field, and market forward.

Economic pressures drove many small and medium businesses on a quest to comprehend Large Language Models (LLMs), OpenAI, and Generative AI, with OpenAI swiftly amassing 100 million users in the first two months back in 2022. (This now seems so long ago…)

Key Points: 
The Hype Cycle’s role in advancing AI/GenAI understanding 
Rapid AI/GenAI user growth amidst economic constraints 
Emphasizing the need for accountability and control in AI development

2023 can be summed up by seeing how we all navigated the AI/GenAI power race. Where participants were propelled by a dual ambition: maximizing the overall capabilities of AI models and minimizing that same model’s footprint for grounding, feature focus, and widespread accessibility. The outcome of this competition is poised to redefine the previously understood word of Artificial Intelligence, as it is now shaping the future of technology and delivering an impact on various domains, cultures, and markets.

#AIDevelopment #Collaboration #AIInsights #ai #genai

: The views expressed in this post are my own. The views within any of my posts or articles are not those of my employer or the employers of any contributing experts. this post? Click icon for more!