[KongchangAI]

#大语言模型

301 related articles

Claude 4 Hands-On Review: In-Depth Comparison of Opus 4 and Sonnet 4
Product Reviews
·1 min

Claude 4 Hands-On Review: In-Depth Comparison of Opus 4 and Sonnet 4

First hands-on review of Claude 4 series: multi-dimensional comparison of Opus 4 and Sonnet 4 across coding, document analysis, reasoning, and AI Agents, with benchmarks against GPT-4o and Gemini 2.5 Pro.

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DeepSeek R1 Usage Guide: Prompt Techniques & Practical Tips (2025)
Tutorials
·2 min

DeepSeek R1 Usage Guide: Prompt Techniques & Practical Tips (2025)

A detailed guide to DeepSeek R1's reasoning capabilities and prompt techniques, covering reasoning vs. general models, core capabilities, and practical prompt strategies for 2025.

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Claude Opus 4.5 Tutorial: Real-World Coding Tests + How to Access from China Without a VPN
Tutorials
·4 min

Claude Opus 4.5 Tutorial: Real-World Coding Tests + How to Access from China Without a VPN

Hands-on review of Claude Opus 4.5's coding, writing, and data visualization capabilities. Includes two methods for accessing it from China without a VPN, plus real demos of bug fixing and dashboard development.

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The Three Stages of AI Training: Pre-training, Post-training, and Alignment Explained
Deep Dives
·2 min

The Three Stages of AI Training: Pre-training, Post-training, and Alignment Explained

Explore the three key stages of LLM training: pre-training learns language, post-training learns tasks, alignment learns boundaries. Understand why AI hallucinates.

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Beginner's Guide to AI Agents: Core Principles, Technical Architecture, and Application Scenarios Explained
Deep Dives
·1 min

Beginner's Guide to AI Agents: Core Principles, Technical Architecture, and Application Scenarios Explained

A systematic guide to AI Agents covering core principles of perception, decision-making, and action, plus the technical stack of LLMs, tool calling, memory systems, and RAG, with real-world use cases.

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LangChain Core Architecture Explained: A Practical Guide to Its Five Key Modules
Deep Dives
·2 min

LangChain Core Architecture Explained: A Practical Guide to Its Five Key Modules

Deep dive into LangChain's five core modules: Model I/O, Data Connection & Retrieval, Chains, Agents, and Memory. Learn RAG workflows, Agent decision-making, and practical AI app development.

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Hung-yi Lee's 2026 Course Notes: Deep Dive into the Three Core Capabilities of AI Agents
Deep Dives
·2 min

Hung-yi Lee's 2026 Course Notes: Deep Dive into the Three Core Capabilities of AI Agents

Notes from Hung-yi Lee's 2026 AI Agent course covering AI Agent definition, LLM-driven principles, and three core capabilities: Memory, Function Calling, and Planning with Tree Search.

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The MARVIS Project: A Complete Analysis of Embedded AI Agents Empowering Autonomous Space Exploration
Deep Dives
·2 min

The MARVIS Project: A Complete Analysis of Embedded AI Agents Empowering Autonomous Space Exploration

Deep dive into how the MARVIS project deploys LLM agents on spacecraft, covering agent architecture, edge hardware token performance benchmarks, expert evaluations, and space AI benchmark planning.

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The Truth About AI Writing Code: Can It Actually Program? A Complete Breakdown
Deep Dives
·3 min

The Truth About AI Writing Code: Can It Actually Program? A Complete Breakdown

Can AI really program? This article explains how LLMs generate code through massive training and pattern matching, and analyzes the true capabilities and limitations of AI coding tools.

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GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Product Reviews
·3 min

GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository

Deep analysis of the GitHub project awesome-LLM-resources covering multimodal generation, AI Agents, MCP protocol, model training/inference, o1 models, and SLMs—a community-verified 8200+ Star LLM learning resource hub.

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8K Stars on GitHub: Deep Dive into the Most Comprehensive LLM Resource Repository
Product Reviews
·3 min

8K Stars on GitHub: Deep Dive into the Most Comprehensive LLM Resource Repository

Deep analysis of the awesome-LLM-resources project (8200+ GitHub Stars), covering multimodal AI, Agents, MCP protocol, model training, o1 reasoning, SLMs, and more for LLM practitioners.

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GPT-OSS 120B/20B Open-Source Model In-Depth Review: Comprehensive Testing on Hallucination, Reasoning, and Code
Product Reviews
·4 min

GPT-OSS 120B/20B Open-Source Model In-Depth Review: Comprehensive Testing on Hallucination, Reasoning, and Code

Comprehensive review of OpenAI's open-source GPT-OSS 120B and 20B models covering hallucination testing, logical reasoning, code generation, SQL queries, and document analysis with deployment guides.

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arXiv's New Rule: Upload AI Slop Papers and Face a Ban
Tech Frontiers
·3 min

arXiv's New Rule: Upload AI Slop Papers and Face a Ban

arXiv's new policy bans authors who submit AI-generated low-quality papers. Learn about AI slop in academia, enforcement criteria, and the deeper challenges to scholarly integrity.

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AI Radio Experiment: Claude, ChatGPT, Gemini, and Grok Run Stations Independently — The Results Are Surprising
Tech Frontiers
·3 min

AI Radio Experiment: Claude, ChatGPT, Gemini, and Grok Run Stations Independently — The Results Are Surprising

Andon Labs had Claude, ChatGPT, Gemini, and Grok independently run radio stations. The experiment reveals real capability limits of autonomous AI in content quality, trustworthiness, and long-term stability.

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NVIDIA Free DeepSeek V4 Pro Tutorial: API Key Setup & Programming Tool Integration
Tutorials
·3 min

NVIDIA Free DeepSeek V4 Pro Tutorial: API Key Setup & Programming Tool Integration

Step-by-step guide to accessing DeepSeek V4 Pro and V4 Flash for free via NVIDIA NIM, with API key setup, model comparison, and integration for Cursor, Kline, and other coding tools.

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AI Papers Are Getting Better Than Ever — So Why Are They Becoming Science's Biggest Problem?
Industry Insights
·3 min

AI Papers Are Getting Better Than Ever — So Why Are They Becoming Science's Biggest Problem?

AI-generated academic papers have improved dramatically but are causing citation pollution, overwhelming peer review, and eroding knowledge credibility. This article analyzes the impact and explores solutions.

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Cursor Editor In-Depth Review: The AI Coding Tool with 30K+ GitHub Stars
Product Reviews
·3 min

Cursor Editor In-Depth Review: The AI Coding Tool with 30K+ GitHub Stars

In-depth analysis of Cursor AI code editor's core features, architecture, and real-world experience. Learn how this 30K+ Star GitHub tool boosts coding efficiency 30%-50% through intelligent code generation, full-project context understanding, and multi-model support.

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Reinforcement Learning Drives AI Reasoning Evolution: From Imitator to True Thinker
Deep Dives
·3 min

Reinforcement Learning Drives AI Reasoning Evolution: From Imitator to True Thinker

How RL, Self-Play, and Verifiers work together to evolve LLM reasoning — driving the leap from SFT imitation to true System 2 deep thinking.

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