Democratization of Hardware for Generative AI

The podcast episode discusses the democratization of hardware for generative AI, particularly focusing on developments related to CPUs for inference and pre-training of large language models. Intel and a startup called Neural Magic are highlighted for their efforts in using quantization, pruning, and sparsity techniques to enable inference and fine-tuning on CPUs. Additionally, the emergence of AMD GPUs as a viable alternative for fine-tuning and inference is mentioned, with references to Lamini's work in making popular large language models compatible with AMD GPUs.