Multimodal Models
The discussion dives into the challenges of multimodal models, highlighting frustrations with their current outputs. There's a critical look at the hype surrounding transformers, suggesting they may be on the decline as attention shifts to post-transformer models. Small language models are also scrutinized, as expectations rise and fall, with the potential for them to become ubiquitous yet underwhelming in performance.In this clip
From this podcast

Practical AI
Hyperventilating over the Gartner AI Hype Cycle
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