- Understanding Encoder And Decoder LLMs https://magazine.sebastianraschka.com/p/understanding-encoder-and-decoder 2 comments learnmachinelearning
Linking pages
- Ahead of AI #11: New Foundation Models https://magazine.sebastianraschka.com/p/ahead-of-ai-11-new-foundation-models 34 comments
- LLM Training: RLHF and Its Alternatives https://magazine.sebastianraschka.com/p/llm-training-rlhf-and-its-alternatives 14 comments
- Ahead of AI #10: State of Computer Vision 2023 https://magazine.sebastianraschka.com/p/ahead-of-ai-10-state-of-computer 3 comments
- The NeurIPS 2023 LLM Efficiency Challenge Starter Guide - Lightning AI https://lightning.ai/pages/community/tutorial/neurips2023-llm-efficiency-guide/ 0 comments
- You Only Cache Once: Decoder-Decoder Architectures for Language Models https://gonzoml.substack.com/p/you-only-cache-once-decoder-decoder 0 comments
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 25 comments
- Machine Learning Q… by Sebastian Raschka, PhD [PDF/iPad/Kindle] https://leanpub.com/machine-learning-q-and-ai 12 comments
- [1910.10683] Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer https://arxiv.org/abs/1910.10683 1 comment
- [1907.11692] RoBERTa: A Robustly Optimized BERT Pretraining Approach https://arxiv.org/abs/1907.11692 0 comments
Related searches:
Search whole site: site:magazine.sebastianraschka.com
Search title: Understanding Encoder And Decoder LLMs
See how to search.