🤖 Large Language Models

Understanding AI and machine learning for modern applications

What are Large Language Models?

Large Language Models (LLMs) are AI systems trained on vast amounts of text data to understand and generate human-like text. They power applications like chatbots, code generation, and content creation.

🧠 Core Concepts

Transformers
Neural network architecture behind modern LLMs

Tokens
Basic units of text processing in LLMs

Embeddings
Vector representations of text meaning

Fine-tuning
Adapting models for specific tasks

🛠️ Integration with .NET

OpenAI API
Direct integration with GPT models via REST API
  • HttpClient
  • JSON
  • Async/Await
Azure OpenAI
Enterprise-grade OpenAI services on Azure
  • Azure SDK
  • Managed Identity
  • Security
Semantic Kernel
Microsoft's SDK for AI orchestration
  • Plugins
  • Planning
  • Memory

🎯 Use Cases

💬 Chatbots
Intelligent customer service and support

📝 Content Generation
Automated writing and documentation

🔍 Code Analysis
Code review and bug detection

📊 Data Insights
Natural language queries on data

📚 Learning Path

1
AI Fundamentals

Understanding ML, neural networks, and transformers

2
API Integration

Connecting to LLM services from .NET

3
Prompt Engineering

Crafting effective prompts for better results

4
Advanced Applications

RAG, fine-tuning, and production deployment

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