Decoding Decoder-Solely Transformers: Insights from Google DeepMind’s Paper
A serious problem within the discipline of pure language processing (NLP) is addressing the restrictions of decoder-only Transformers. These fashions, which type the spine of huge language fashions (LLMs), undergo from important points akin to representational collapse and over-squashing. Representational collapse happens when totally different enter sequences produce almost an identical representations, whereas over-squashing results…
