#LLM learning roadmap
236 related articles
·2 min
AI LLM Development Career Path: Four Stages from Zero to $60K+/Year
A four-stage learning path for AI LLM application development: from Python basics and RAG architecture to Agent cluster orchestration, helping developers transition into AI roles.
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·4 min
AI Large Language Model Career Transition Roadmap: A Three-Phase Learning Guide from Zero to Enterprise-Ready
A systematic three-phase AI LLM career transition roadmap: from Transformer fundamentals to RAG, Agent & LangChain development, to LoRA fine-tuning. Build enterprise-ready skills in two months.
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·3 min
AI Agent Development: A Three-Stage Learning Roadmap from Zero to One
A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.
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·2 min
The Complete Guide to Automated AI Research Resources: Papers, Tools, and Labs
A deep dive into the awesome-auto-ai-research open-source project, covering key papers, tools, labs, and roadmaps in automated AI research to help researchers explore the frontier of autonomous AI-driven science.
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·1 min
Sakana AI Launches RSI Lab: The Path to Recursive Self-Improvement Where AI Builds AI
Sakana AI launches RSI Lab for recursive self-improvement, letting AI autonomously improve its own architecture. Explore their four-stage roadmap and key breakthroughs.
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·2 min
Sakana AI Establishes Recursive Self-Improvement Lab, Replacing Brute-Force Compute with Creativity to Pioneer a New AI Paradigm
Sakana AI launches its Recursive Self-Improvement Lab, focusing on using AI to redesign AI development. From LLM² to AI Scientist, this Tokyo company proposes a sample-efficient path to AI self-evolution without brute-force compute.
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·3 min
SWE-Smith Expands to JavaScript: 6,099 Synthetic Bugs Powering Multilingual Code Repair
SWE-Smith Multilingual extends synthetic bug generation to JavaScript, validating 6,099 patches across 74 repos. Covers 14 modifiers, high-yield repo traits, and Modal cloud pipeline architecture.
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·3 min
748-Episode AI Large Language Model Development Tutorial: Seven Core Modules from Zero to Project Deployment
Analysis of a 748-episode, 198-hour AI LLM development tutorial covering API integration, prompt engineering, RAG, AI Agents, fine-tuning, multimodal development, and deployment.
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·4 min
AI Agent Development: A Complete Six-Week Systematic Learning Roadmap
A systematic six-week learning roadmap for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, deployment, and hands-on projects.
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·3 min
The Vibe Coding Four-Module Framework: A Complete Methodology from Fragmented Learning to Engineering Delivery
A deep dive into the Vibe Coding four-module framework: paradigm cognition, open-source customization, SDD, and project rules for real engineering delivery.
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·2 min
Career Switch to AI Software Testing from Scratch: A Complete 3-Month Learning Roadmap
A complete 3-month learning roadmap for switching to AI software testing from scratch, covering fundamentals, Python automation, AI-powered testing, and career guidance.
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·3 min
The Complete Guide to Vibe Coding: Turn Ideas into Products with AI — No Coding Required
A complete guide to Vibe Coding: from idea to PRD, UI design, and working code using AI tools like Gemini, Figma Make, and Cursor — no coding skills needed.
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·3 min
Codex vs Claude Code in Practice: A Complete Guide to AI-Engineered Programming for Enterprise Projects
In-depth comparison of Codex and Claude Code for enterprise AI development, covering Vibe Coding limitations, multi-Agent workflows, OpenRouter platform architecture, and programmer learning paths.
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·3 min
How Wayfair Uses GPT Models to Process a Catalog of 40 Million Products
Deep dive into how Wayfair uses OpenAI GPT models for catalog enrichment across 40M SKUs, covering technical implementation, AI solutions for non-standardized product classification, and implications for e-commerce.
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·2 min
Frontend to AI Agent Architect: A Complete 3-Month Learning Roadmap
How can frontend engineers transition to AI Agent development? A systematic 3-month roadmap covering AI concepts, model selection, team productivity, and Agent architecture.
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·4 min
AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer
A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
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·2 min
The 4-Stage Roadmap for AI Application Development: A Career Transition Guide from Beginner to Senior Engineer
A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·4 min
AI Agent Development: A Complete 6-Week Systematic Learning Roadmap
A 6-week systematic learning roadmap for AI Agent development, covering core architecture, ReAct principles, multi-agent collaboration, RAG integration, and deployment.
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