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AI & LLMs Hub

Setup guides, provider deep-dives, RAG pipelines, agents, and model comparisons β€” everything to build production AI systems.

πŸš€Coming soon

Setup Guides

RAG pipeline, chatbot, AI agent, LangChain, LlamaIndex β€” step-by-step from zero

πŸ€–Coming soon

Agents

Tool use, multi-agent systems, ReAct, planning, memory, LangGraph

🟒Coming soon

OpenAI

GPT-4o, o1, function calling, assistants API, structured output, pricing

🟣Coming soon

Anthropic / Claude

Claude 4, extended thinking, tool use, prompt caching, context windows

πŸ”΅Coming soon

Google / Gemini

Gemini 2.0 Flash, 1M context, multimodal, Vertex AI, Gemma

πŸ¦™Coming soon

Meta / Llama

Llama 3.3, self-hosting with Ollama, fine-tuning, quantization

✍️Coming soon

Prompt Engineering

System prompts, chain-of-thought, few-shot, industry-standard patterns

βš™οΈComing soon

Fine-tuning

LoRA, QLoRA, RLHF, when to fine-tune vs RAG vs prompt engineering

βš–οΈComing soon

Model Comparisons

GPT vs Claude vs Gemini on real tasks β€” coding, reasoning, cost, speed