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Chain of Thought Prompting Elicits Reasoning in Large Language Models
本文章介绍了思维链(COT)对大型语言模型推理能力的提升和Few-shot COT的基础用法,以及对解码的影响。- 235
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Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
Explore how to enhance the text-to-SQL capabilities of large language models through prompt design strategies, focusing on few-shot learning and the use of SQL queries. This study delves into various …- 472
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Mistral 7B: 4-bit Quantization and QLoRA for Efficient Language Model Optimization
This article explores the efficiency of Mistral 7B, a language model, through 4-bit quantization and QLoRA, providing insights into its performance and practical applications in natural language proce…- 340
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Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
本文介绍了一种名为黑盒提示优化的新方法,用于解决大型语言模型的对齐问题,而无需对模型进行训练。- 851
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
AutoGen is an open-source framework designed to enable next-generation LLM applications through multi-agent conversation, providing a new and flexible platform for AI application development.- 403
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