Attention Is All You Need
Paper
•
1706.03762
•
Published
•
34
LLM Papers
-
-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 9 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 7 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 11 -
PaLM: Scaling Language Modeling with Pathways
Paper • 2204.02311 • Published • 1 -
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Paper • 2301.13688 • Published • 8 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 11 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 3 -
PaLM 2 Technical Report
Paper • 2305.10403 • Published • 4 -
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Paper • 2305.10601 • Published • 7 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 233 -
Attention Is Not All You Need Anymore
Paper • 2308.07661 • Published • 1 -
Mistral 7B
Paper • 2310.06825 • Published • 41 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 44 -
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 49 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 41 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 117