AI Revolution Insights
Vivek and Tao discuss the importance of model size and training data in AI tasks, emphasizing the need for powerful vision encoders. Nathan delves into the vast range of data and computing power required for fine-tuning models, highlighting the spectrum from few-shot learning to pre-training.In this clip
From this podcast
The Cognitive Revolution: How AI Changes Everything
Google’s Multimodal Med-PaLM with Vivek Natarajan and Tao Tu
Related Questions
What are the limitations of the vision model in multimodal systems as discussed in the episode Google’s Multimodal Med-PaLM with Vivek Natarajan and Tao Tu and the clip AI Scaling Insights?
What challenges are faced in training large language models (LLMs)?
What are the limitations of the vision model in multimodal systems as discussed in the episode Google’s Multimodal Med-PaLM with Vivek Natarajan and Tao Tu and the clip AI Scaling Insights?