Try the Fast Models (www.natemeyvis.com)

Recent advancements in AI models highlight a significant shift towards faster, more efficient models that, while operating at 93% of the capability of their more powerful counterparts, can drastically optimize workflows. These fast models are increasingly capable of handling a variety of tasks that previously required the full power of larger models, often saving users both time and costs. The blog underscores the importance of reassessing which tasks can be effectively tackled by fast models, noting that many established instincts about model selection may be outdated given their rapid improvement. The implications of this shift are profound for the AI/ML community, as it encourages users to embrace fast-model workflows that can yield faster results—sometimes completing tasks that once took minutes in mere seconds. This not only enhances productivity but also opens up new avenues for experimentation and collaboration by leveraging the strengths of different model types. As the landscape of AI continues to evolve, recognizing the utility of these fast models may equip developers and researchers with more agile and responsive tools for their projects, enabling a deeper exploration of AI's potential in everyday applications.