In this Medium article, I discuss how the large token limits in new LLM models can transform the learning and development function. I highlight how these models can handle longer sequences and context, allowing for more complex and nuanced language understanding. This, in turn, enables the creation of more sophisticated language-based AI applications, such as language translation, text summarization, and chatbots. I also touch on the potential implications for training data, model architecture, and inference speed.

Please read here.