feat: initial project setup with LLM architecture and HF integration

- Add LLM library with GPT model implementation
- Add hf-proxy for HuggingFace integration
- Add experiments for training and generation
- Add comprehensive documentation and examples
- Configure uv workspace with proper dependencies

pyproject.toml

@@ -0,0 +1,35 @@
+[project]
+name = "llm-arch-research"
+version = "0.1.0"
+description = "Research workspace for LLM architectures"
+authors = [
+    { name = "Sergey Penkovsky", email = "sergey.penkovsky@gmail.com" }
+]
+requires-python = ">=3.10"
+dependencies = [
+    "accelerate>=0.26.0",
+    "hf-proxy",
+    "llm",
+    "tqdm>=4,<5",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.0.0",
+    "black>=24.0.0",
+    "ruff>=0.3.0",
+    "mypy>=1.8.0",
+    "jupyter>=1.0.0",
+]
+test = [
+    "pytest>=8.0.0",
+    "pytest-cov>=4.1.0",
+]
+
+[tool.uv.sources]
+llm = { workspace = true, editable = true }
+hf-proxy = { workspace = true, editable = true }
+
+[tool.uv.workspace]
+members = ["llm", "hf-proxy"]
+exclude = []