春节前幻方量化发布的大模型DeepSeek-R1，一经亮相便迅速炸场AI领域，全球的企业管理者、创业者、项目经理、分析师乃至相关部门领导人都现身说法，感慨DeepSeek-R1在大模型领域取得的突破性进展。

本文重点介绍大模型意图识别能力在智能电视核心链路中的落地过程和思考，对比了基础模型、RAG 、以及7b模型微调三种方案的优缺点。 业务背景 ...

GridGain®, provider of the leading real-time data processing and analytics platform, today announced GridGain for AI, which enables organizations to use GridGain as a low-latency data store for ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

VectorDBs have become mandatory for RAG embeddings, while GraphRAG and ... of autonomy comes the challenge of applying guardrails. LangChain's State of Agents survey stresses the importance ...

Imagine an AI assistant that doesn’t just exist as a static AI tool but springs to life when needed, understanding the context and the perfect specialist for your task, and disappears when its job ...

Retrieval-Augmented Generation (RAG) is an AI architecture that enhances the capabilities of Large Language ... We’ll embed the text chunks using a pre-trained model and store them in a Chroma vector ...

The Langchain Agent UI, powered by the open source CoAgent framework, is reshaping how developers approach the creation of AI agents. By seamlessly integrating critical components such as memory ...

With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...

LangChain, the agentic AI pioneer, introduced the term “ambient agents” on January 14. The technology that LangChain develops includes its eponymous open source LangChain framework that ...