RNN vs Transformers or how scalability made possible Generative AI?
Jean de Nyandwi on X: "LSTM is dead. Long Live Transformers This is one of the best talks that explain well the downsides of Recurrent Networks and dive deep into Transformer architecture.
Transformer's Self-Attention Mechanism Simplified
Block-Recurrent Transformer: LSTM and Transformer Combined | by Nikos Kafritsas | Towards Data Science
PDF] A Comparative Study on Transformer vs RNN in Speech Applications | Semantic Scholar
Long short-term memory - Wikipedia
Comprehensive Guide to Transformers
Transformer (deep learning architecture) - Wikipedia
Transformer vs LSTM: A Helpful Illustrated Guide – Be on the Right Side of Change
Why are LSTMs struggling to matchup with Transformers? | by Harshith Nadendla | Analytics Vidhya | Medium
PDF] A Comparison of Transformer and LSTM Encoder Decoder Models for ASR | Semantic Scholar
Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study | SpringerLink
Why are LSTMs struggling to matchup with Transformers? | by Harshith Nadendla | Analytics Vidhya | Medium
Applied Sciences | Free Full-Text | LSTM-Based Transformer for Transfer Passenger Flow Forecasting between Transportation Integrated Hubs in Urban Agglomeration
Compressive Transformer vs LSTM. a summary of the long term memory… | by Ahmed Hashesh | Embedded House | Medium
Overview of the proposed LSTM-Transformer model. LSTM-Transformer model... | Download Scientific Diagram