Content Generation

• Generates tweets, replies, and threads using a fine-tuned language model conditioned on the behavioral blueprint.

• Ensures context-aware responses by analyzing conversation history.

• Incorporates randomness to avoid repetitive outputs while maintaining style consistency.

Tech Stack:

• GPT-based Models: Fine-tuned on user-specific data for personalized content generation.

• LangChain: For chaining prompts and maintaining conversational context.

• Redis: For caching generated content and reducing latency.