对于使用 AI Functions 的批处理推理工作负荷,Databricks 建议 Databricks Runtime 15.4 ML LTS 以提高性能。 使用特定任务的 AI 函数进行 LLM 批量推理 可以使用特定于任务的 AI 函数运行批处理推理。 有关如何将特定于任务的 AI 函数合并到管道中的指南,请参阅“部署批处理推理管道”。
本文介绍 Azure Databricks AI Functions,这是内置 SQL 函数,可用于直接从 SQL 对数据应用 AI。SQL 对于数据分析至关重要,因为它多功能、高效和广泛使用。 它简单易用,可快速检索、操作和管理大型数据集。 将 AI 函数合并到 SQL 中进行数据分析可提高效率,使企业能够快速提取见解。将AI 集成到分析工作流可让分析...
Learn the syntax of the ai\_query function of the SQL language in Databricks SQL. See examples of querying foundation models and traditional ML models for inference.
Discover the power of Azure OpenAI’s GPT models with Databricks SQL AI Functions. Process unstructured data, analyze sentiment, generate responses, and more.
本文介绍马赛克 AI 模型服务,用于部署 AI 和 ML 模型的 Databricks 解决方案,用于实时提供和批处理推理。 什么是 Mosaic AI 模型模型? 马赛克 AI 模型服务提供统一的接口,用于部署、治理和查询 AI 模型进行实时和批量推理。 你提供的每个模型都可用作 REST API,可以集成到 Web 或客户端应用程序中。
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as noted above, there is a mismatch between the meaning/contents of the "config" in the Databricks API vs. the MLflow deployment functions. This approach will not work if you attempt to update both the config and the other component(s) (rate limits as currently written, gateway if the sam...
4.4 步骤 2:定义函数(Define the functions) 4.5 步骤 3:将所有系统组件整合在一起 4.6 步骤 4:将其转化为实时交互式对话(interactive chat)系统 编者按: 大语言模型拥有令人惊叹的语言理解和生成能力,却也存在自主决策、与外部系统交互等方面的不足。函数调用(Function Calling)技术的出现,正是为解决这一难题而生...
Robin is the Field CTO at Databricks. She has consulted with hundreds of organizations on data strategy, data culture, and building diverse data teams. Robin has had an eclectic career path in technical and business functions with more than two decades in tech companies, ...
Systems that can do this kind of parsing and then call different functions and assemble an output that is usable to workers will create a much greater impact than an LLM-based tool on its own. We need a multipronged system with interconnected functions that can be independen...