AI agentlar

2026-yilda AI agent'larni loyihalash, yaratish va ishga tushirishni o'rganing

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AI agent'lar
Quyidagi tegishli yo'nalishlarni ham ko'rib chiqing
AI Engineer
Tegishli yo'l xaritalari
  • AI Engineer yo'l xaritasi
  • AI va Data Scientist yo'l xaritasi
  • MLOps yo'l xaritasi
  • AI Red Teaming yo'l xaritasi
  • Prompt Engineering yo'l xaritasi
Backend development asoslari
Git va terminaldan foydalanish
REST API bo'yicha bilimlar
Boshlang'ich Backend yo'l xaritasi
Git va GitHub yo'l xaritasi
API dizayni yo'l xaritasi
Zarur bilimlarni o'rganing
LLM asoslari
Transformer modellar va LLM'lar
Model mexanizmlari
Tokenization
Context Windows
Token Based Pricing
Generation sozlamalari
Temperature
Frequency Penalty
Presence Penalty
Top-p
Stopping Criteria
Open Weight Models
Closed Weight Models
Model oilalari va litsenziyalar
Streamed va unstreamed javoblar
Reasoning va standart modellar
Fine-tuning va prompt engineering
Embedding'lar va vector search
RAG asoslarini tushunib oling
Asoslarni tushuning
Ommabop modellarning narxlari
AI agent'lar 101
AI agent'lar nima?
Tool'lar nima?
Agent Loop
Perception / User Input
Reason va plan
Acting / Tool Invocation
Observation va reflection
1
2
4
Use case misollari
Personal assistant
Code generation
Data analysis
Web Scraping / Crawling
NPC / Game AI
3
Max Length
Prompt Engineering
Prompt engineering nima?
Nima kerakligini aniq ayting
Qo'shimcha kontekst bering
Mos texnik atamalarni ishlating
Prompt'da misollar keltiring
Prompt'larni testlab, yaxshilang
Uzunlik va formatni belgilang
Yaxshi prompt'lar yozish
Prompt Engineering yo'l xaritasi
Tool'lar / Action'lar
Tool Definition
Nomi va tavsifi
Input / Output schema
Error Handling
Ishlatish misollari
Tool'larga misollar
Veb-qidiruv
Code Execution / REPL
Ma'lumotlar bazasi query'lari
API Requests
Email / Slack / SMS
File system'ga kirish
Agent Memory
Agent memory nima?
Short Term Memory
Long Term Memory
Prompt ichida
Vector DB / SQL / Custom
Episodic va semantic memory
Memory'ni boshqarish
RAG va vector database'lar
Foydalanuvchi profilini saqlash
Summarization / Compression
Forgetting / aging strategiyalari
Agent arxitekturalari
ReAct (Reason + Act)
Model Context Protocol (MCP)
MCP Hosts
MCP Client
MCP Servers
Asosiy component'lar
MCP server'lar yaratish
Deployment rejimlari
Lokal desktop
Remote / Cloud
Chain of Thought (CoT)
RAG Agent
Ommabop arxitekturalar
Planner Executor
DAG Agents
Tree-of-Thought
Agent'lar yaratish
Qo'lda (noldan)
Bevosita LLM API call'lar
Agent loop'ni amalga oshirish
Output'ni parse qilish
Error va rate limit handling
LLM Native "Function Calling"
OpenAI Functions Calling
Gemini Function Calling
OpenAI Assistant API
Freymvorklar bilan yaratish
LangChain
LlamaIndex
Haystack
AutoGen
CrewAI
Smol Depot
Anthropic Tool Use
Evaluation va testlash
Kuzatib boriladigan metric'lar
Alohida tool'lar uchun unit testing
Flow'lar uchun integration testing
Human in the Loop Evaluation
LangSmith
Ragas
DeepEval
Freymvorklar
Structured logging va tracing
Debugging va monitoring
Observability vositalari
LangSmith
Helicone
LangFuse
openllmetry
Xavfsizlik va etika
Prompt Injection / Jailbreaks
Tool sandboxing / Permissioning
Data privacy va PII redaction
Bias va toxicity guardrail'lari
Safety va red team testing
AI va Data Scientist
Ushbu yo'l xaritasining batafsil versiyasini va boshqa shunga o'xshash yo'l xaritalarini toping
roadmap.sh
Agno
LangGraph
Self-critique Agents
Multi-Agents

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roadmap.sh

Barcha kontent roadmap.sh loyihasidan olingan (© Kamran Ahmed) va shaxsiy o'rganish uchun o'zbek tiliga tarjima qilinmoqda.

Qidiruv

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