RAG RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72 PERL: Parameter Efficient Reinforcement Learning from Human Feedback Paper • 2403.10704 • Published Mar 15, 2024 • 60
RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72
PERL: Parameter Efficient Reinforcement Learning from Human Feedback Paper • 2403.10704 • Published Mar 15, 2024 • 60
LLMs LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 67 Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 67
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111
RAG RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72 PERL: Parameter Efficient Reinforcement Learning from Human Feedback Paper • 2403.10704 • Published Mar 15, 2024 • 60
RAFT: Adapting Language Model to Domain Specific RAG Paper • 2403.10131 • Published Mar 15, 2024 • 72
PERL: Parameter Efficient Reinforcement Learning from Human Feedback Paper • 2403.10704 • Published Mar 15, 2024 • 60
LLMs LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 67 Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Paper • 2404.05961 • Published Apr 9, 2024 • 67
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Paper • 2404.07143 • Published Apr 10, 2024 • 111
