#token optimization
1926 related articles
Tutorials·4 min
LangChain Deep Agents in Practice: Ten Agent Development Pain Points and Their Solutions
Deep dive into LangChain Deep Agents paradigm, analyzing ten Agent development pain points including tool sprawl and context pollution, with practical enterprise solutions using Deep Research.
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Tutorials·3 min
4-bit QLoRA Fine-tuning LLaMA 3 in Practice: A Guide to Training 8 Billion Parameter LLMs on Consumer GPUs
Learn how to fine-tune LLaMA 3 8B on consumer GPUs using QLoRA and Unsloth. Covers 4-bit quantization, LoRA adaptation, Alpaca data format, training pipeline setup, and model deployment—runs on RTX 3090.
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Product Reviews·3 min
awesome-LLM-resources: A Comprehensive Analysis of the 8,200-Star LLM Learning Resource Repository on GitHub
In-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
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Tutorials·2 min
Cursor 3.3 Context Usage Analysis: A Complete Guide to Understanding and Optimization
Cursor 3.3 adds Agent context usage analysis, helping developers visualize Rules, MCP, Skills context consumption. Learn how to optimize AI programming efficiency.
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Tech Frontiers·2 min
Stability AI Composer 2 SDK at Half Price for Limited Time: How Developers Can Seize This Deal
Stability AI announces a limited-time 50% discount on Composer 2 SDK. This article breaks down the deal, Composer 2's core capabilities, and AI market pricing trends to help developers decide.
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Tech Frontiers·2 min
Cursor Launches Claude Opus 4 Fast Mode: 2.5x Faster, 6x More Expensive — Is It Worth It?
Cursor launches Claude Opus 4 Fast Mode with 2.5x speed but 6x cost. We analyze use cases, cost tradeoffs, and practical tips to help you decide if it's worth it.
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Product Reviews·3 min
ChuanhuChatGPT: A Comprehensive Analysis of the 15K-Star Open-Source Multi-Model Chat Interface
Deep dive into ChuanhuChatGPT, a 15K-star open-source project with multi-model access, Agent support, RAG file Q&A, GPT fine-tuning, and web search.
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Tech Frontiers·2 min
SWE-agent Multimodal Released: Image Viewing + Browser Debugging, A New Power Tool for Frontend AI Development
SWE-agent Multimodal officially released with image viewing and web browser debugging capabilities for automated frontend visual bug detection and fixes, plus the new SWE-bench Multimodal benchmark.
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Deep Dives·2 min
Cursor SDK /orchestrate Explained: Recursive Multi-Agent Collaboration for Complex Programming Tasks
Cursor SDK launches /orchestrate skill, using recursive multi-agent spawning for complex tasks with 20% Token savings and 80% faster cold starts.
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Deep Dives·3 min
AgentPay: A Deep Dive into the Decentralized Payment Marketplace for Autonomous AI Agent Transactions
Deep dive into AgentPay, an open-source project enabling AI agents to autonomously provide DeFi optimization, smart contract auditing services and settle payments via stablecoins in a decentralized marketplace.
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Product Reviews·3 min
AutoGPT: A Deep Dive into the Open-Source AI Agent Platform with 180K Stars
Deep dive into the AutoGPT open-source project, covering its autonomous AI agent architecture, core features, use cases, and future development. Learn how this 184K-Star GitHub project makes autonomous AI accessible to everyone.
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Deep Dives·4 min
Hugging Face Transformers: Deep Dive into the 160K-Star Open Source AI Framework
Deep dive into Hugging Face Transformers: the 160K-Star open-source framework covering Pipeline API, Auto Classes, multi-modal models, and the full HF ecosystem for AI inference and training.
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Tutorials·4 min
Dify AI Agent Tutorial: Build Tool-Calling & Smart Search with Zero Code
Learn how to build an AI Agent on Dify with zero code, covering Function Call vs ReAct modes, Exa search tool setup, time-awareness solutions, and Agent best practices.
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Deep Dives·4 min
Context Engineering Explained: The AI Paradigm Shift from Prompt to Context Engineering
Deep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
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Product Reviews·3 min
Stock-MCP: An Open-Source MCP Server That Gives AI Agents Real-Time Access to Chinese and US Stock Data
Stock-MCP is an open-source MCP-based financial data server supporting China A-shares, US stocks, and crypto. Learn its core features, architecture, and use cases for building AI investment research assistants.
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Tech Frontiers·2 min
Kimi K2 Official Verification Tool K2-Vendor-Verifier: One-Click API Vendor Model Accuracy Detection
Moonshot AI open-sources K2-Vendor-Verifier to verify third-party Kimi K2 API vendor inference accuracy. Learn how this tool helps developers detect over-quantization, model substitution, and other API market risks.
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Tech Frontiers·3 min
CL4R1T4S Project: Massive Leak of Major AI System Prompts Sparks Transparency Debate with 25,000+ Stars
GitHub project CL4R1T4S leaked system prompts from ChatGPT, Claude, Gemini and other major AI products, earning 25,000+ Stars and igniting debate over AI transparency vs. security.
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Product Reviews·3 min
awesome-LLM-resources: A Deep Dive into GitHub's 8K-Star Comprehensive LLM Learning Resource Repository
Deep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
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Deep Dives·4 min
Agent, MCP, and Function Calling: A Complete Guide to Their Differences and Relationships
A deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
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Tech Frontiers·2 min
Datasette 1.0a29 Released: Fixing a Gnarly Segfault Race Condition with GPT-5.5
Datasette 1.0a29 preview released, fixing a segfault race condition introduced by test optimization. Developer Simon Willison used GPT-5.5 xhigh to help reproduce the issue, showcasing AI debugging in practice.
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