Chapter
The Importance of Benchmarks and the Threshold for Performance in Language Models
The threshold for performance in language models like transformers may be reached once the right questions are asked by the querying system. However, benchmarks need to capture the unpredictability and edge cases of the real world, which current benchmarks like ImageNet lack.
Clips
The rise of deep learning and neural networks can seem to be a result of a hardware revolution, including GPUs for video games and data centers.
1:33:40 - 1:34:41 (01:01)
Summary
The rise of deep learning and neural networks can seem to be a result of a hardware revolution, including GPUs for video games and data centers. The engineering and historical evolution of GPUs allowed deep learning to emerge with its advancements.
ChapterThe Importance of Benchmarks and the Threshold for Performance in Language Models
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
The real worldness of things requires data sets and benchmarks that capture the unpredictable and edge cases to make significant progression in AI development.
1:34:41 - 1:38:03 (03:22)
Summary
The real worldness of things requires data sets and benchmarks that capture the unpredictable and edge cases to make significant progression in AI development.
ChapterThe Importance of Benchmarks and the Threshold for Performance in Language Models
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
Transformer models require the right questions to be asked to get accurate answers, which can make performance appear random until the correct questions are asked.
1:38:03 - 1:44:33 (06:29)
Summary
Transformer models require the right questions to be asked to get accurate answers, which can make performance appear random until the correct questions are asked. The threshold or phase shift scale is affected by the benchmark scale and the engineering benchmarks to scale models may have a low threshold.