#LLM API tutorial
627 related articles
Tutorials·3 min
Self-Hosting an API Proxy Platform: Free Access to Claude/GPT/Gemini LLMs Tutorial
Learn how to self-host an API proxy using the open-source iClient 2 API project, converting free Claude, GPT, and Gemini client quotas into OpenAI-compatible endpoints via Docker deployment.
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Product Reviews·1 min
GPT_API_free: Tutorial for Free Access to ChatGPT, DeepSeek, and Other LLM APIs
GPT_API_free is a GitHub project with 37,700+ Stars offering free API Keys to access ChatGPT, DeepSeek, Claude, Gemini and other LLMs via a unified interface.
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Product Reviews·1 min
One API: Deployment Tutorial & Deep Dive into the Open-Source API Gateway for Managing 30+ LLMs
One API is an open-source LLM API gateway with 32K+ GitHub Stars that unifies 30+ models (OpenAI, Claude, DeepSeek, Qwen) into OpenAI-compatible format. Learn its core features, Docker deployment, and key management.
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Tutorials·1 min
Ollama Local LLM Deployment Tutorial: Complete Guide from Installation to API Integration
Complete guide to deploying open-source LLMs locally with Ollama, covering installation, model selection, quantization strategies, Python API integration, and performance optimization tips.
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·4 min
Forward-Deployed Engineer (FDE): A Complete Guide to the $400K AI Role
FDE job postings surged 1165%, paying $300K-$400K. Learn what FDEs do, the three core skill stacks, interview process, and a realistic path from zero to offer.
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·3 min
Who Will Thrive in the AI Age? Core Competencies and Survival Strategies
Explore who will truly thrive in the AI age. From the shift of executor to orchestrator, irreplaceable human values, and compound effects of AI skills—analyzing future core competencies and growth strategies.
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·3 min
From ML to AI Engineer: A Pragmatic Transition Learning Roadmap
A detailed guide on the core differences between ML and AI engineers, with a complete learning roadmap covering engineering fundamentals, LLM app development, and production deployment including RAG systems and agent development.
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·4 min
The Difference Between HTTP and HTTPS: How TLS Encryption Protects Your Data
A deep dive into the differences between HTTP and HTTPS, from TCP handshakes to TLS encryption. Learn how HTTPS uses certificate verification, key exchange, and symmetric encryption to fix HTTP's security flaws.
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·3 min
Practical Guide to Connecting DeepSeek with Codex: Two Free Methods Explained
Learn how to connect DeepSeek to OpenAI Codex using CC Switch and Codex++—two free tools with complete setup steps, comparison guide, and honest analysis of benefits and limitations.
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·3 min
AI Agent Development Learning Roadmap: A Complete Three-Phase Guide from Zero to Production
A complete three-phase AI Agent development roadmap: Python basics & LLM fundamentals, five core capabilities (planning, tool use, memory, reflection, context optimization) with LangChain/LangGraph, and hands-on RAG projects.
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·2 min
Coze Beginner's Tutorial: Understanding the Relationship Between Agents and Workflows
Learn Coze agent development from scratch. This beginner's tutorial uses a home renovation analogy to explain Agents and Workflows, with a hands-on demo of creating your first agent.
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·3 min
Meta Open-Sources Muse Glimmer: A 30-Billion Parameter Agent Model That Runs Locally on a Single GPU
Meta open-sources Muse Glimmer, a 30B parameter agent model compressed to under 20GB via 4-bit quantization. Runs on a single RTX 4090 with 128K context, 3x speedup via D-Flash speculative decoding, and MCP tool-calling score of 75.5.
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·2 min
Getting Started with LangChain for Generative AI Development: A Complete Guide to Its Value and Learning Path
Explore LangChain's technical positioning and learning value for GenAI development, covering core components, course evaluation criteria, and a practical beginner's learning path.
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·3 min
Wayfinder Skill Hands-On: A New Paradigm for AI-Planned Decision Maps for Large Projects
Hands-on test of how Wayfinder uses decision tickets, multi-conversation parallelism, and fog of war to systematically break down large project concepts into executable implementation roadmaps.
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·3 min
Advanced AI Agent Development: A Complete Practical Guide to Three Major Frameworks
A deep dive into AI Agent development covering LangChain, LangGraph, and CrewAI frameworks, from single-agent to multi-agent collaboration systems.
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·4 min
Advancing Your Self-Taught Machine Learning Journey: Three Paths Forward After Completing Foundational Projects
After completing MNIST implementation and paper reproduction, how should self-taught ML learners advance? This article outlines three paths: computer vision, NLP, and math foundations.
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·3 min
LangChain Tool Calling in Practice: Adding Your First Tool to an AI Agent with the @tool Decorator
Complete guide to LangChain AI Agent tool calling: from defining tools with @tool decorator to automatic Agent invocation, with calculator examples, security tips, and naming conventions.
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·3 min
LLM Learning Roadmap: A Three-Phase Practical Guide
A systematic LLM learning roadmap: from Python basics to LangChain & LlamaIndex frameworks, RAG, Agent, and fine-tuning core skills, plus hands-on projects to master LLM app development in 3 months.
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·4 min
Getting Started with LangChain 1.3: Ecosystem Architecture & Agent Development Complete Guide
Complete guide to LangChain 1.3 ecosystem: four core modules (LangChain, LangGraph, DeepAgent, LangSmith), from setup to building your first Agent with tools, prompts & memory.
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·3 min
Why Chinese LLMs Are Dominating the OpenRouter Weekly Rankings
Chinese LLMs dominate OpenRouter's weekly usage rankings. DeepSeek, Qwen, and Kimi win global developers with open-source strategies, extreme cost-efficiency, and technical breakthroughs.
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