in add_documents return self.add_texts(texts, metadatas, **kwargs) File "/home/mq/.cache/pypoetry/virtualenvs/ai-workshop-2NuhJKpg-py3.9/lib/python3.9/site-packages/langchain_community/vectorstores/oceanbase.py", line 300, in add_texts embeddings = self.embedding_function.embed_documents(...
AIMessage(content="RAG stands for Retrieval-Augmented Generation in the context of Large Language Models (LLMs). It is an AI framework that improves the quality of LLM-generated responses by grounding the model on external sources of knowledge to supplement the LLM's internal representation of in...
RAGLAB是一个模块化、研究导向的开源库,重现6种算法并构建全面研究生态。借助RAGLAB,我们在10个基准上公平对比6种算法,助力研究人员高效评估和创新算法。 2024.09 (39) MemoRAG【过目不忘】 过目不忘:它不只是按需查找资料,而是已经把整个知识库都深入理解并记在心里。当你问问题时,它能快速从这个"超级大脑"中...
On the machine translation task, we summa-\nrize the early work on how the retrieved sentences\n(called translation memory) are used to improve\nstatistical machine translation (SMT) (Koehn et al.,\n2003) models (Simard and Isabelle, 2009; Koehn\nand Senellart, 2010) and in particular, ...
LlamaLab:使用 LlamaIndex 的尖端 AGI 项目平台。 3.GTE 文本向量 3.1 简介 模型链接: https://www.modelscope.cn/models?name=GTE-zh https://www.modelscope.cn/models/iic/nlp_gte_sentence-embeddi... 文本表示是自然语言处理 (NLP) 领域的核心问题, 其在很多 NLP、信息检索的下游任务中发挥着非常重要...
One pivotal strategy for balancing efficiency and performance in mobile RAG systems isdynamic computation scaling. This technique adjusts the computational workload based on the complexity of the input query. For example, simpler queries can bypass deeper model layers, significantly reducing latency and...
Your goal is to decide if the items in the images would work in an outfit together. The first image is the reference item (the item that the user is trying to match with another item). You need to decide if the second item would work well with the reference item. Your response ...
命令示例 /create work_session 创建工作会话 /switch work_session 切换到工作会话 /Hello! 发送对话消息 /read report.pdf 分析PDF文档 运行效果演示模拟用户对话流程 创建测试会话 In [ ] session_mgr.create_session("test_session") session_mgr.switch_session("test_session") ...
4. **Practice**: Work on real-world projects and competitions to apply your knowledge and improve your skills. Machine learning is transforming industries by automating pattern recognition, making data-driven decisions, and enabling innovation through intelligent systems. ...
在下面的三元组示例中,“Philadelphia Phillies”是主体,“compete in”是谓词,“Major League Baseball”是客体。 代码语言:shell AI代码解释 (Philadelphia Phillies)--[compete in]->(Major League Baseball) 而图数据库通过存储三元组来高效地存储和查询复杂的图数据。