Hello, World

| 1 min read
meta deep-learning genai

Welcome

This is the first post on my blog. I’ll be writing about deep learning systems, generative AI, and the intersection of physics and machine learning.

What to expect

  • Technical deep dives into production ML systems
  • Lessons from building GenAI solutions at scale
  • The bridge between scientific research and engineering

A quick code example

Here’s a simple Python snippet to make sure syntax highlighting works:

import torch
import torch.nn as nn

class SimpleNet(nn.Module):
    def __init__(self, input_dim: int, output_dim: int):
        super().__init__()
        self.layers = nn.Sequential(
            nn.Linear(input_dim, 128),
            nn.ReLU(),
            nn.Linear(128, output_dim),
        )

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        return self.layers(x)

model = SimpleNet(784, 10)
print(f"Parameters: {sum(p.numel() for p in model.parameters()):,}")

Stay tuned for more posts.

Found an issue? Let me know

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