Discover how AWS's Tranium and Inferentia chips can significantly reduce training and inference costs for generative AI applications. The discussion highlights the parallels between large language models and past image recognition projects, emphasizing the importance of data cleaning for effective model training. Additionally, the introduction of Llama 2 showcases the evolution of unsupervised training and fine-tuning techniques in the realm of language modeling.
