Future Model Sizes
Emad discusses the potential shift towards smaller models and the impact of data optimization on model performance. Lukas explores the relationship between model size and performance across different types of models.In this clip
From this podcast

Gradient Dissent - A Machine Learning Podcast
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Related Questions
Should models have more parameters, as discussed in the episode ThursdAI Aug 24 - Seamless Voice Model, LLaMa Code, GPT3.5 FineTune API & IDEFICS vision model from HF and the clip Quantization and Model Size?
Should models have more parameters as discussed in the episode ThursdAI Aug 24 - Seamless Voice Model, LLaMa Code, GPT3.5 FineTune API & IDEFICS vision model from HF and the clip Quantization and Model Size?