24. CODEAGENT: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges 链接:https://aclanthology.org/2024.acl-long.737.pdf 简介:这篇文章主要介绍了一种名为CODEAGENT的新型LLM-based代理框架,用于增强代码生成任务的性能。该框架通过整合五个编程工具和四个...
The target audience is beginners who are looking to understand how to create user interfaces with Streamlit. The style of the response should be educational and thorough. Given the instructional nature, comments should be used extensively in the code to provide context and explanations. Output: Prov...
[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...
While large language models (LLMs) have demonstrated the ability to generate hardware description language (HDL) code for digital circuits, they still suffer from the hallucination problem, which leads to the generation of incorrect HDL code or misunderstanding of specifications. In this work, we in...
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 ...
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...
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, ...
○ 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 ...
Generating accurate SQL from natural language questions (text-to-SQL) is a long-standing challenge due to the complexities in user question understanding, database schema comprehension, and SQL generation. Conventional text-to-SQL systems, comprising human engineering and deep neural networks, have ...