Artificial Intelligence
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Dream 7B: How diffusion-based inference models reshape AI
Artificial intelligence (AI) has developed a lot, going beyond basic tasks such as generating text and images to systems that…
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Accelerate coding implementation of active learning annotations with Adala and Google Gemini
In this tutorial, we will learn how to leverage the Adala framework to build a modular active learning pipeline for…
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Tencent releases PrimitiveAnthing: a new AI framework that rebuilds 3D shapes using automatic regression original generation
The original abstraction of shapes breaks down complex 3D forms into simple, interpretable geometric units, which are crucial to human…
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Coding guide to unlocking the MEM0 memory of anthropomorphic Claude Bot: Enable context-rich dialogue
In this tutorial, we will take you through the seamless memory memory by setting up a fully functional robot in…
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ZeroSearch from Alibaba uses reinforcement learning and simulation documents to teach LLMS search without real-time search
From coding to academic coaching and automation assistants, large language models are now at the heart of a variety of…
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Why do we seek virtual companionship?
Psychology behind AI girlfriend chatbots: Why do we seek virtual companionship? In an increasingly digital world, relationships are taking new…
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Small amount of open source dew: a modular multi-agent framework for in-depth research automation
The beast has been released dewThis is an open source multi-proxy framework designed to enhance complex research workflows by combining…
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Enterprise AI without GPU burns: Salesforce’s XGEN-SMALL optimization context, cost and privacy
Language processing in an enterprise environment faces critical challenges as business workflows increasingly rely on comprehensive information from different sources,…
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Deeply researching next-generation interoperability protocols: Model Context Protocol (MCP), Proxy Communication Protocol (ACP), Proxy-to-Proxy Protocol (A2A), and Proxy Network Protocol (ANP)
As autonomous systems increasingly rely on large language models (LLMs) for reasoning, planning, and action execution, key bottlenecks emerge, not…
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Self-taught AI: Tsinghua University’s “absolute zero” training LLM has zero external data
LLM demonstrates advances in reasoning ability through enhanced learning with proven rewards (RLVR), which relies on results-based feedback rather than…
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