Through a mixed methods user study with 15 programmers, we present an empirical evaluation of the effectiveness of the workflow to improve code generation accuracy. We find that participants using the proposed workflow are significantly more likely to correctly evaluate A...
Existing large language models (LLMs) for register transfer level code generation face challenges like compilation failures and suboptimal power, performance, and area (PPA) efficiency. This is due to the lack of PPA awareness in conventional transformer decoding algorithms. In response, we present ...
[LLM-based、multi-agent] AutoAgents: A Framework for Automatic Agent Generation 研究点 & 速读:现有LLM-based agent往往专门设计agent去解决某个特定任务,限制了不同场景中multi-agent协作的能力。本文提出了AutoAgents,可以根据不同的任务自适应生成、协调多个agent从而组建AI团队。 [LLM-based、multi-agent] Dyn...
这几篇文章对大语言模型的输出内容和人类价值观持续一致的关键技术的调研。 [1] Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun,and Haofen Wang. Retrieval-augmented generation for large language models: A survey.arXiv preprint arXiv:2312.10997, 2023....
Agent 简介Proof of ConceptTransformersLangchainAutoGPTBabyAGICamelAgentVerseAgentsAutoGenOpenAgentsCode Generationgpt-engineergpt-pilotscreenshot-to-codeChatDevMe… 阅读全文 赞同 添加评论 分享 收藏 gpt-engineer https://github.com/AntonOsika/gpt-engineer简介 生成代码的 agent,提供多...
RAG has also been applied to non-QA tasks such as code generation. While CodeT5+ can be used as a standalone generator, when combined with RAG, it significantly outperforms similar models in code generation. To assess the impact of RAG on code generation, they evaluate the model in three...
we provide the local directory where the model is stored, including the file name and extension. We set the maximum number of tokens in the model response and model temperature. Additionally, in the “Advanced settings”, we can customize different token sampling strategies for output ...
○ Hybrid Approach: RAG utilizes a hybrid approach that combines retrieval-based and generation-based techniques, allowing it to offer both contextually relevant responses and generate novel, coherent responses. ○ Advanced Language Models: RAG is built upon state-of-the-art language models such as ...
Previous deepfake audio generation methods typically involve a multi-step generation process, with the final step using a vocoder to predict the waveform from handcrafted features. However, LLM-based audio is directly generated from discrete neural codecs in an end-to-end generation process, ...
AutoFlow: Automated Workflow Generation for Large Language Model Agents Zelong Li, Shuyuan Xu, Kai Mei, Wenyue Hua, Balaji Rama, Om Raheja, Hao Wang, He Zhu, Yongfeng Zhang 2024 AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback Jian Guan, Wei Wu, Zujie...