Oy 5 — LLM, RAG va AI Agentlar
🎯 Bu oydagi maqsad
Oy oxirida siz quyidagilarni qila olasiz:
- LLM (Large Language Model) arxitekturasi va ekosistemasini bilasiz
- OpenAI, Anthropic, Google AI API'lar bilan ishlashni bilasiz
- Prompt engineering texnikalarini qo'llay olasiz
- Vector DB va RAG (Retrieval Augmented Generation) pipeline qura olasiz
- AI Agentlar (tool use, function calling) yarata olasiz
- LoRA/QLoRA bilan fine-tuning qilishni bilasiz
- O'zbek tilidagi hujjatlar uchun chatbot yarata olasiz
Haftalik taqsimot
| Hafta | Mavzu | Vaqt |
|---|---|---|
| Hafta 1 | LLM fundamentals + Prompt Engineering + APIs | 10-12 soat |
| Hafta 2 | LangChain/LlamaIndex + Vector DB | 10-12 soat |
| Hafta 3 | RAG Pipeline (full implementation) | 10-12 soat |
| Hafta 4 | AI Agents + Fine-tuning + Capstone | 12-15 soat |
Boblar tartibi
- LLM fundamentals — GPT, Claude, Llama qanday ishlaydi
- Prompt Engineering — yaxshi prompt yozish
- OpenAI va Anthropic API — amaliy ishlash
- LangChain va LlamaIndex — frameworks
- Vector Databases — Qdrant, ChromaDB, pgvector
- RAG Pipeline — to'liq RAG implementation
- AI Agents — tool use, multi-agent
- Fine-tuning — LoRA, QLoRA, PEFT
- Mashqlar
Oy oxirida nima qila olasiz?
- LLM API bilan to'liq chatbot yarata olish
- 1000+ ta hujjatdan RAG pipeline qurish
- Multi-agent AI sistemalar (CrewAI, LangGraph)
- O'zbek tilidagi documentation bot
- LoRA bilan kichik domain-specific fine-tuning
- Production'ga olib chiqish: streaming, caching, observability
Backend Dev uchun maslahat
LLM bilan ishlash — 80% prompt engineering + 20% kod. Backend dev sifatida sizning kuchli tomonlaringiz:
- API integratsiyasi — REST, streaming, retry logic
- Schema design — structured output (Pydantic + JSON)
- Caching va cost optimization — Redis bilan
- Async/concurrent — async LLM calls
- Observability — har LLM call'ni log'lash
LLM API budget
Bu oy uchun $10-30 yetadi:
- OpenAI: GPT-4o-mini (juda arzon — 1M tokens uchun $0.15)
- Anthropic: Claude Haiku 4.5 (Sonnet 4.6 ham arzon)
- Google: Gemini 2.5 Flash (bepul tier mavjud)
- Groq: bepul (Llama, Mixtral models)
- OpenRouter: ko'p model'lar uchun bitta API
**Tavsiya:**OpenRouter'da $10 yuklang — barcha modellarni sinab ko'rish uchun yetadi.
Boshlash
LLM fundamentals bilan boshlang.