⚡ Live Playground: AI Dev Tool: This Mine Predicts Major

```python
# AI Dev Tool: FastAPI Taalas Inference Booster
# =============================================
# A production-ready developer code asset for boosting inference performance
# using Taalas and etching models in silicon.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Dict
import numpy as np
from taalas import Taalas

app = FastAPI()

# Define a Pydantic model for the inference request
class InferenceRequest(BaseModel):
    """Inference request model"""
    input_data: List[float]
    model_name: str

# Define a Pydantic model for the inference response
class InferenceResponse(BaseModel):
    """Inference response model"""
    output_data: List[float]
    model_name: str

# Initialize the Taalas instance
taalas = Taalas()

# Define a route for the inference endpoint
@app.post("/inference", response_model=InferenceResponse)
async def inference(request: InferenceRequest):
    """
    Inference endpoint

    Args:
    request (InferenceRequest): The inference request

    Returns:
    InferenceResponse: The inference response
    """
    try:
        # Get the input data
⚡ Live Code Sandbox: AI Dev Tool: This Mine Predicts Major
