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Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 9 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70
Collections
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Collections including paper arxiv:2311.11045
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Visual In-Context Prompting
Paper • 2311.13601 • Published • 16 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 3 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3 -
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
Paper • 2311.07361 • Published • 12
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Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70 -
ToolTalk: Evaluating Tool-Usage in a Conversational Setting
Paper • 2311.10775 • Published • 7 -
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Paper • 2311.11077 • Published • 24 -
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Paper • 2311.11501 • Published • 33
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RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Paper • 2310.01352 • Published • 7 -
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Paper • 2203.11171 • Published • 1 -
MemGPT: Towards LLMs as Operating Systems
Paper • 2310.08560 • Published • 6 -
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
Paper • 2310.06117 • Published • 3