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girijesh-ai/ai-interview-codex
这是一个全面的机器学习与AI面试准备资源库,涵盖ML编码、系统架构设计、LLM/GenAI、RAG系统及算法实现。提供从基础理论到生产级代码的实战指南,帮助求职者掌握2026年前沿标准,适用于AI工程师岗位的技术面试复习与技能提升。
技术栈
python-oop-masterclass/enterprise-agent-system python
框架
FastAPI
测试
pytest
查看全部依赖 (61)
依赖
Pydantic
aiokafka
asyncpg
autopep8
bandit
black
boto3
botocore
celery
faker
flake8
flower
hiredis
httpx
hypothesis
ipdb
ipython
isort
kafka-python
kombu
kubernetes
langchain
langchain-community
langchain-core
langchain-openai
langgraph
mccabe
mkdocs
mkdocs-material
mkdocstrings
mypy
opentelemetry-api
opentelemetry-exporter-jaeger
opentelemetry-instrumentation-asyncpg
opentelemetry-instrumentation-fastapi
opentelemetry-instrumentation-redis
opentelemetry-sdk
passlib
prometheus-client
psycopg2-binary
pydantic-settings
pylint
pytest-asyncio
pytest-cov
pytest-mock
pytest-timeout
python-dotenv
python-jose
python-multipart
pyyaml
radon
redis
rich
safety
structlog
tenacity
types-PyYAML
types-redis
uvicorn
weaviate-client
websockets