#token optimization LLM
1172 related articles
Tutorials·2 min
Google Anti-Gravity Agent Skills Hands-On Tutorial
Learn how to install and use Agent Skills in Google Anti-Gravity IDE, including official frontend design Skills, UI/UX Pro Max demos, and custom Skills creation.
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Product Reviews·2 min
GLM5.1 Coding Test: An In-Depth Review of Real Code Capabilities and Cost-Effectiveness
Real-world test of GLM5.1 AI coding assistant covering frontend dev and utility scripts. Analysis of its strengths in small tasks, long-context stability issues, and Token costs.
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Tech Frontiers·1 min
Qwen3.5-Omni Released: SOTA on 215 Tasks, Alibaba's Omni-Modal Model Takes on Gemini Head-On
Alibaba releases Qwen3.5-Omni omni-modal model, achieving SOTA on 215 tasks with native multimodal pretraining on 100M+ hours of audio-visual data, surpassing Gemini 3.1 Pro on multiple metrics.
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Industry Insights·2 min
Claude Opus 4.7 Released: 20% Coding Performance Boost, Same Price, Widening Gap with Chinese Models
Anthropic releases Claude Opus 4.7 with ~20% coding Agent improvement at unchanged pricing. Compared to GPT, Gemini, and Chinese models like GLM, Opus 4.7 leads decisively in coding.
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Product Reviews·2 min
DeepSeek V4 Deep Dive: Three Major Innovations — Hybrid Attention, Manifold-Constrained Hyperconnections, and MOM Optimizer Fully Explained
Deep dive into DeepSeek V4's three core innovations: Hybrid Attention for million-token context, Manifold-Constrained Hyperconnections, and MOM Optimizer. Pro model rivals Claude Opus 4.6 at 1/7 the cost.
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Tutorials·2 min
Guide to Building a DeepSeek V4 + Claude Code Hybrid Programming Workflow
Learn how to combine DeepSeek V4 with Claude Code to build a cost-effective AI programming workflow. Covers setup, task layering, and real demos—cutting AI coding costs by 76%+.
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Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
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Tech Frontiers·2 min
Andrew Ng's New Course: Experience the Vibe Coding Paradigm with Replit
Andrew Ng partners with Replit on a Vibe Coding 101 course teaching how to build web apps with AI coding agents. Zero experience needed, hands-on in 3 minutes with SEO analyzer and voting app projects.
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Tutorials·2 min
Getting Started with Qwen3-0.6B Fine-Tuning: Core Concepts of Large Language Models and Fine-Tuning Methodology Explained
Starting from the three core characteristics of LLMs, this article systematically covers foundational knowledge needed for Qwen3-0.6B fine-tuning, including model comparisons, fine-tuning value analysis, and the complete learning path.
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Tutorials·2 min
Superpowers Writing Plans in Practice: A Good Plan Cuts Token Usage in Half
How to use the Superpowers Writing Plans skill correctly—identify AI blind spots, supply API docs, and use tiered models to cut Token costs in half from the planning stage.
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Industry Insights·2 min
Three Jobs AI Will Replace First in 2025: What's Next for Customer Service, HR, and Programmers?
In-depth analysis of three jobs AI will replace first in 2025—customer service, HR, and programmers. How intelligent systems, AI recruitment tools, and coding assistants are accelerating displacement.
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Tutorials·2 min
Complete Guide to Claude Skills 2.0: Skill Creation, Evaluation, and Real-World Applications
Deep dive into Claude Skills 2.0: two skill types, the new skill creator, evaluation system, and a cold email marketing case study that boosts task pass rates from 40% to 100%.
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Product Reviews·2 min
10 Recommended Open-Source Claude Code Tools for May 2025
10 curated open-source Claude Code tools for May covering Token optimization, knowledge graphs, frontend design extraction, browser automation, and more to boost AI coding efficiency.
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Tutorials·2 min
LangChain Conversational Memory in Practice: Principles and Latest Implementation of Four Memory Types
Deep dive into four conversational memory types in LangChain 0.3: Buffer, Window, Summary, and Summary Buffer. Covers RunnableWithMessageHistory implementation with selection guidelines.
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Tutorials·2 min
LangChain Streaming Output & Async in Practice: Complete Implementation for Agent Scenarios
Deep dive into LangChain streaming output and async implementation, covering astream usage, custom AsyncQueueCallbackHandler, and Agent streaming executor architecture for production AI apps.
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Tutorials·2 min
OpenAI Agents SDK Tracing Guide: Zero-Configuration Agent Observability
Learn how to use OpenAI Agents SDK's built-in tracing system for AI Agent observability, covering zero-config auto-tracing, custom trace contexts, and tool call monitoring.
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Product Reviews·2 min
Claude Code Agent Teams Hands-On: Is Multi-AI Collaborative Development Actually Worth It?
Hands-on review of Claude Code Agent Teams multi-agent collaboration: team architecture, real-world performance, token costs, key limitations, and pragmatic recommendations for when to use it.
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Product Reviews·2 min
PaperClip + Claude Code Multi-Agent Coordinated Development in Practice: Full Workflow Demo of an AI Virtual Team
Hands-on demo of building a multi-Agent development team with PaperClip and Claude Code, featuring Delivery Lead, Frontend/Backend Engineers, QA, and Code Reviewer roles in a full AI-automated development workflow.
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Tutorials·2 min
DeepSeek + Cursor + DevBox: Complete Project Development and Deployment with Zero Coding Experience
Learn how DeepSeek + Cursor + DevBox enables zero-code project development from design to deployment, perfect for beginners and non-programmers.
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Tutorials·2 min
How to Tell If Your GPU Is Out of VRAM When Running Local LLMs: A Complete Guide to VRAM Monitoring
How to tell if your GPU is out of VRAM when running local LLMs. Learn the difference between dedicated and shared GPU memory, monitor VRAM overflow via Task Manager, and use quantization and context length control to avoid OOM.
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