muhammederem/chief Skills

# AWS Cloud Services ## Overview Amazon Web Services (AWS) provides a comprehensive cloud platform including compute, storage, database, analytics, networking, deployment, and machine learning services. ## Core Services ### EC2 (Elastic Compute Cloud) ### Launch Instance ```python import boto3

# Database Integration Patterns ## Overview Database integration patterns for PostgreSQL (relational) and MongoDB (NoSQL) with Python, including ORM usage, migrations, and best practices. ## PostgreSQL with SQLAlchemy ### Connection Setup ```python from sqlalchemy import create_engine from sqlalc

# Docker Containerization ## Overview Docker is a platform for developing, shipping, and running applications in containers. Containers provide isolation, consistency, and efficiency across different environments. ## Core Concepts ### Images vs Containers - **Image**: Read-only template with appl

# FastAPI Framework ## Overview FastAPI is a modern, fast web framework for building APIs with Python based on standard Python type hints. It provides automatic validation, serialization, and interactive API documentation. ## Installation ```bash pip install fastapi uvicorn[standard] pip install p

# Hugging Face Transformers ## Overview Hugging Face Transformers is a library providing pre-trained models for Natural Language Processing (NLP), Computer Vision, and Audio tasks. It supports PyTorch, TensorFlow, and JAX. ## Installation ```bash pip install transformers datasets evaluate accelera

# LangChain Framework ## Overview LangChain is a framework for developing applications powered by language models. It provides interfaces for LLMs, prompt management, memory, chains, agents, and tools. ## Installation ```bash pip install langchain langchain-openai langchain-community pip install c

# PyTorch Deep Learning Framework ## Overview PyTorch is an open-source machine learning library developed by Facebook's AI Research lab. It provides tensor computation with GPU acceleration and deep neural networks built on a tape-based automatic differentiation system. ## Key Features ### Dynam

# Vector Databases for Semantic Search ## Overview Vector databases store and query high-dimensional vector embeddings, enabling semantic search, recommendation systems, and RAG applications. ## Key Concepts ### Embeddings Vector representations of text/images that capture semantic meaning: - Tex