class AICreator:
def __init__(self):
self.name = "SerpentSecOps"
self.current_focus = [
"π΅ Music Generation with AI",
"π€ Building AI Applications",
"β‘ Local LLM Inference & Optimization",
"π οΈ Creating Tools for AI Usage"
]
self.learning = ["Stable Diffusion", "Voice Synthesis", "Music AI"]
self.fun_fact = "Turning code into beats π§"
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing with AI!")
me = AICreator()
me.say_hi() π΅ βͺ β« β¬ π΅
βββββββββββββββββββββββββββββββββββββββ
β π€ Training models locally β
β π΅ Generating sick beats β
β β‘ Optimizing LLM inference β
β π¨ Creating AI-powered tools β
β π₯ Experimenting with new tech β
βββββββββββββββββββββββββββββββββββββββ
π΅ βͺ β« β¬ π΅
|
|
|
|
π΅ Click to see my AI & Music projects
- AI Beat Maker: Generate beats using AI models locally
- Voice Clone Studio: Clone voices with minimal training data
- Music Style Transfer: Transfer musical styles between tracks
- Text-to-Music: Generate music from text descriptions
- Local LLM Server: FastAPI server for local model inference
- RAG Document Chat: Chat with your documents using RAG
- AI Code Assistant: Custom coding assistant running locally
- Smart CLI Tools: AI-powered command-line utilities
- Model Quantization Pipeline: Automated model quantization workflow
- Inference Benchmark Suite: Compare different inference backends
- GPU Monitor Dashboard: Real-time GPU usage visualization
- AI Toolkit: Collection of utilities for AI development
Always open to collaborating on AI projects, especially:
- π΅ Music generation & audio AI
- π€ Local LLM applications
- β‘ Inference optimization
- π οΈ Developer tools for AI

