Generative AI Inference Technology, Market, and Future

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Generative AI Inference Technology, Market, and Future

OpenAI o1, QwQ-32B-Preview,DeepSeek R1-Lite-Preview’s successive release signifies that generative AI research is shifting from pre-training to inference to enhance AI logical reasoning capabilities. This transition will greatly promote the development of upper-layer applications.Sequoia Capital recently pointed out, that in the foreseeable future, logical reasoning and computation during inference will be an important theme, ushering in … Read more

Boost Coding Efficiency with Cline+DeepSeek R1

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Boost Coding Efficiency with Cline+DeepSeek R1

#DeepSeek #RooCline #Cline After the release of DeepSeek R1, it created a huge buzz. Now, here are two steps to experience DeepSeek-R1. Select <span>API Provider</span> in the Cline settings interface and choose DeepSeek, then fill in the API Key. In the Model selection below, choose <span>deepseek-reasoner</span> If you can’t find this option, you can update … Read more

Integrating DeepSeek-R1 with VSCode for AI Development

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Integrating DeepSeek-R1 with VSCode for AI Development

* Click the blue text above “Niupitang Does Not Brag” to follow me Hello everyone, I am Niupitang! Recently, the domestic AI large models have been booming, with various manufacturers open-sourcing large models, especially the release of DeepSeek-R1, which has attracted widespread attention. This domestic AI model not only performs excellently in reasoning and code … Read more

Transforming Programming Efficiency with DeepSeek R1 in VSCode

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Transforming Programming Efficiency with DeepSeek R1 in VSCode

Hello everyone, I am a rural programmer, an independent developer, and an industry observer, Chen Suiyi, the “Tiger of Frontend”. • Personal website 1️⃣: https://chensuiyi.me • Personal website 2️⃣: https://me.yicode.tech If this article inspires or helps you, feel free to support me with a like, comment, or share. Thank you! DeepSeek-R1 It’s incredible, everyone. DeepSeek … Read more

DeepSeek-R1 + RooCline: Excellent Reinforcement Learning AI Coding Agent!

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DeepSeek-R1 + RooCline: Excellent Reinforcement Learning AI Coding Agent!

🍹 Insight Daily 🪺 Aitrainee | WeChat Official Account: AI Trainee Hi, this is Aitrainee, welcome to read this new article. Deepseek R1 has been officially released. This is not the previous Light version, but the complete R1. Its performance is comparable to o1, and it adopts the MIT open-source license, allowing commercial use. It … Read more

Using DeepSeek R1 for Planning and 3.5-Sonnet for Implementation

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Using DeepSeek R1 for Planning and 3.5-Sonnet for Implementation

Version 3.2 of cline has been released, featuring the Plan & Act Modes which effectively distinguish between AI code thinking and action, highlighting the capabilities of cline’s ‘System Two’. Planning Mode Optimized for situational collection and strategy Collaborates with you to formulate plans; does not write code Complete document reading capability for project understanding Focuses … Read more

Rethinking RAG Relevance: Similarity Does Not Equal Relevance

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Rethinking RAG Relevance: Similarity Does Not Equal Relevance

Recently, while reading some materials about RAG systems, I discovered an interesting phenomenon: the relevance issue of RAG is far more complex than we imagine. Whether from the perspective of data retrieval or the understanding of relevance by large models, the performance of RAG is filled with challenges and opportunities. Today, I would like to … Read more

Multimodal RAG Technology: From Semantic Extraction to VLM Applications

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Multimodal RAG Technology: From Semantic Extraction to VLM Applications

Introduction This sharing focuses on the implementation path and development prospects of multimodal RAG. The core topics cover five aspects: 1. Multimodal RAG based on semantic extraction 2. Multimodal RAG based on VLM 3. How to scale multimodal RAG based on VLM 4. Choice of technical routes 5. Q&A session Speaker｜Jin Hai Infiniflow Co-founder Editor｜Wang … Read more

RAG Logger: A Lightweight Logging Tool for RAG Applications

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RAG Logger: A Lightweight Logging Tool for RAG Applications

RAG Logger is a logging tool for RAG applications, a lighter open-source alternative to LangSmith. It comprehensively records, queries tracking, retrieves results, logs LLM interactions, and monitors performance step by step. It features structured log storage, organizes log files by day, automatically manages log files, and preserves detailed metadata such as timestamps and execution duration. … Read more

Pirate of RAG: Adaptive Attacks on LLMs to Leak Knowledge Bases

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Pirate of RAG: Adaptive Attacks on LLMs to Leak Knowledge Bases

Abstract With the growing popularity of Retrieval-Augmented Generation (RAG) systems in various real-world services, concerns about their security are increasing. RAG systems enhance the generative capabilities of Large Language Models (LLMs) through retrieval mechanisms operating on private knowledge bases. However, unintended exposure of this mechanism can lead to severe consequences, including the leakage of private … Read more