The Importance of Model Agnosticism: With the rapid evolution of AI models, building applications that are model-agnostic has become more critical than ever.
Control and Interpretability Matter: Relying solely on large language models (LLMs) poses significant challenges for creating applications that can be deployed in real-world scenarios.
The Need for Open Models: Lastly, the push for more open models has never been more apparent. Open-source models are essential for fostering innovation, ensuring accessibility, and maintaining the integrity of our work in the AI field.
The Importance of Model Agnosticism: With the rapid evolution of AI models, building applications that are model-agnostic has become more critical than ever.
Control and Interpretability Matter: Relying solely on large language models (LLMs) poses significant challenges for creating applications that can be deployed in real-world scenarios.
The Need for Open Models: Lastly, the push for more open models has never been more apparent. Open-source models are essential for fostering innovation, ensuring accessibility, and maintaining the integrity of our work in the AI field.