Industrial Model Evolution
Denis discusses the evolution of machine learning models, emphasizing the shift from uniform layer sizes to more complex structures that leverage multiple GPUs. He highlights the monumental leap made by OpenAI, which transformed the landscape with a staggering increase in parameters and computational power, leading to unprecedented capabilities in processing tasks. The conversation raises intriguing questions about the implications of such advanced models on understanding and generating language.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 513: Transformers for Natural Language Processing — with Denis Rothman
Related Questions
How do layers work in deep learning?
How do layers work in deep learning as discussed in the episode Fast.ai, AutoML, and Software Engineering for ML: Jeremy Howard // Coffee Session #47 and the clip Building Layers of Abstraction?
How are large language models (LLMs) trained as discussed in the episode Synthetic Data with Alex Watson, Founder of Gretel AI, and the clip AI Revolutionizes Tabular Data?