LLM Prototyping Platform
Overview
Built a comprehensive Django-based API for prototyping complex LLM interactions with different AI roles and personalities, featuring conversational memory and advanced context management.
Background
This project demonstrates my expertise in AI integration and application development. I created a flexible platform allowing dynamic conversations between different AI personas using OpenAI and Ollama models. The system includes advanced features like conversational memory, context management, and prompt engineering. The architecture supports streaming responses, model selection, and sophisticated dialogue generation with multiple AI personalities maintaining context across conversations. Technical metrics: ~4,500 lines of Python code, 15+ LLM integration endpoints, average context window of 8,000 tokens, and support for 6 different model providers with customizable parameters.
Preview
