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dsRAG:用于处理非结构化数据和复杂查询的检索引擎-首席AI分享圈

dsRAG: A Retrieval Engine for Unstructured Data and Complex Queries

Comprehensive Introduction dsRAG is a high-performance retrieval engine designed to handle complex queries on unstructured data. It performs particularly well in handling challenging queries in dense text such as financial reports, legal documents, and academic papers. dsRAG employs three key approaches to improve performance: semantic segmentation,...

Grok 3 震撼发布:推理智能体性能炸裂!API 首发 “5 美元充 150 美元”-首席AI分享圈

Grok 3 Shocking Release: Reasoning Intelligence Body Performance Blows Up! API Debuts "$5 Charge for $150"

In the field of AI technology, performance is the hard truth! xAI's newly released Grok 3 and Grok 3 mini models have once again refreshed people's perception of AI capabilities with a series of explosive performance indicators. xAI's newly released Grok 3 and Grok 3 mini models once again refresh people's perception of AI capabilities with a series of explosive performance indicators. xAI's excellent inference ability, large context window with millions of tokens, and a number of authoritative benchmarks...

AI News

ZEP-Graphiti: a temporal knowledge graph architecture for intelligent body memory

Quick Reads Challenges of Intelligent Body Memory and Zep's Innovation Intelligent bodies (AI Agents) face memory bottlenecks in complex tasks. Traditional Large Language Model (LLM)-based AI Agents are constrained by contextual windows that make it difficult to efficiently integrate long-term dialog history and dynamic data, limiting performance and making them prone to hallucinations.Zep is ...

AI knowledge
Graphiti:动态知识图谱构建和查询工具(具有时间感知的长记忆方案)-首席AI分享圈

Graphiti: dynamic knowledge graph construction and query tool (time-aware long memory scheme)

General Introduction Graphiti is a tool developed by getzep for building and querying dynamic, time-aware knowledge graphs. It is capable of representing complex and evolving relationships between entities and querying them through a variety of methods such as temporal, full-text, semantic, and graph algorithms.Graphiti can simultaneously handle non...

元真数字人:数字人直播、口播短视频,商业化AI虚拟人直播工具-首席AI分享圈

Yuanzhen digital people: digital people live, oral short video, commercialization AI avatar live tool

Comprehensive Introduction Yuanzhen Digital People is a leading AIGC (Artificial Intelligence Generated Content) platform dedicated to providing users with one-stop services such as digital people live broadcasting, short video production and AI assistant. The platform integrates AI algorithm synthesis and GPT-style big models, supports users to create exclusive Q&A models, and provides real-time voice drive...

中文基于满血 DeepSeek-R1 蒸馏数据集,支持中文R1蒸馏SFT数据集-首席AI分享圈

Chinese based full-blooded DeepSeek-R1 distillation dataset, supports Chinese R1 distillation SFT dataset

Comprehensive Introduction The Chinese DeepSeek-R1 distillation dataset is an open source Chinese dataset containing 110K pieces of data designed to support machine learning and natural language processing research. The dataset is released by Cong Liu's NLP team. The dataset contains not only mathematical data, but also a large amount of general types of data, such as logical reasoning...

MoBA: Kimi 推出的支持长上下文处理的大语言模型-首席AI分享圈

MoBA: A Large Language Model for Long Context Processing by Kimi

Comprehensive Introduction MoBA (Mixture of Block Attention) is an innovative attention mechanism developed by MoonshotAI, designed for large language models (LLMs) with long context processing.MoBA learns to attend to the most relevant KV blocks by dividing the full context into multiple blocks, with each query token learning to attend to the most relevant KV blocks, thus...

Perplexity AI 开源 R1-1776 模型:突破偏见和审查-首席AI分享圈

Perplexity AI open source R1-1776 model: breaking through bias and censorship

Perplexity AI, an artificial intelligence research company, recently announced that it has officially open-sourced its latest masterpiece, the R1-1776 Big Language Model. The model, which is based on DeepSeek-R1 deep optimization, aims to address the bias and censorship issues that existed in the original model when dealing with sensitive topics, and seeks to provide users with unbiased, quasi...

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