diff --git a/experiments/generate_bg_titles/.gitignore b/experiments/generate_bg_titles/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..338733e31a2f68c013ea63437270f39d82c3e323
--- /dev/null
+++ b/experiments/generate_bg_titles/.gitignore
@@ -0,0 +1 @@
+titles.txt
diff --git a/experiments/generate_bg_titles/Data.py b/experiments/generate_bg_titles/Data.py
new file mode 100644
index 0000000000000000000000000000000000000000..2bed4b167b81765571d0c3b65459d4089253a3c6
--- /dev/null
+++ b/experiments/generate_bg_titles/Data.py
@@ -0,0 +1,40 @@
+# ---
+# jupyter:
+#   jupytext:
+#     formats: ipynb,py:percent
+#     text_representation:
+#       extension: .py
+#       format_name: percent
+#       format_version: '1.3'
+#       jupytext_version: 1.16.3
+#   kernelspec:
+#     display_name: Python 3 (ipykernel)
+#     language: python
+#     name: python3
+# ---
+
+# %%
+import json
+import jupyter_black
+from tqdm import tqdm
+
+jupyter_black.load()
+
+# %%
+in_path = "../../../board-game-data/scraped/bgg_GameItem.jl"
+out_path = "./titles.txt"
+
+
+# %%
+def load_titles(path):
+    with open(path, encoding="utf-8") as file:
+        for line in file:
+            game = json.loads(line)
+            if name := game.get("name"):
+                yield f"{name}\n"
+
+
+# %%
+titles = load_titles(in_path)
+with open(out_path, mode="w", encoding="utf-8") as file:
+    file.writelines(tqdm(titles))
diff --git a/experiments/generate_bg_titles/Model_1.py b/experiments/generate_bg_titles/Model_1.py
new file mode 100644
index 0000000000000000000000000000000000000000..63d8b3d735269b430893a2f8513b263398ee96ff
--- /dev/null
+++ b/experiments/generate_bg_titles/Model_1.py
@@ -0,0 +1,136 @@
+# ---
+# jupyter:
+#   jupytext:
+#     formats: ipynb,py:percent
+#     text_representation:
+#       extension: .py
+#       format_name: percent
+#       format_version: '1.3'
+#       jupytext_version: 1.16.3
+#   kernelspec:
+#     display_name: Python 3 (ipykernel)
+#     language: python
+#     name: python3
+# ---
+
+# %%
+import jupyter_black
+import torch
+import random
+from torch.utils.data import Dataset, DataLoader
+from tqdm import tqdm
+from transformers import AdamW, GPT2LMHeadModel, GPT2Tokenizer
+import torch
+from torch.utils.data import Dataset, DataLoader
+from torch.nn.utils.rnn import pad_sequence
+from transformers import GPT2Tokenizer, GPT2LMHeadModel, AdamW
+
+jupyter_black.load()
+
+# %%
+# Load the tokenizer
+tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+
+# Manually set the padding token
+tokenizer.pad_token = tokenizer.eos_token
+
+
+# Define a function to load and tokenize the dataset
+def load_and_tokenize_dataset(file_path, tokenizer, sample_rate=1.0):
+    with open(file_path, "r", encoding="utf-8") as file:
+        lines = file.readlines()
+    # Tokenize the dataset
+    tokenized_dataset = [
+        tensor
+        for line in tqdm(lines)
+        if random.random() <= sample_rate
+        and (
+            tensor := tokenizer(line.strip(), return_tensors="pt")["input_ids"].squeeze(
+                dim=0
+            )
+        ).numel()
+        and tensor.dim() == 1
+    ]
+    return tokenized_dataset
+
+
+# Load and tokenize your dataset
+file_path = "titles.txt"
+tokenized_dataset = load_and_tokenize_dataset(file_path, tokenizer, 1.0)
+len(tokenized_dataset)
+
+
+# %%
+def collate_fn(batch):
+    # Pad sequences to the same length
+    batch_padded = pad_sequence(
+        batch,
+        batch_first=True,
+        padding_value=tokenizer.pad_token_id,
+    )
+    return batch_padded
+
+
+class BoardGameTitlesDataset(Dataset):
+    def __init__(self, tokenized_dataset):
+        self.tokenized_dataset = tokenized_dataset
+
+    def __len__(self):
+        return len(self.tokenized_dataset)
+
+    def __getitem__(self, idx):
+        return self.tokenized_dataset[idx]
+
+
+# Create a dataset and dataloader
+dataset = BoardGameTitlesDataset(tokenized_dataset)
+dataloader = DataLoader(dataset, batch_size=64, shuffle=True, collate_fn=collate_fn)
+
+# %%
+# Load the model
+model = GPT2LMHeadModel.from_pretrained("gpt2")
+
+# Set the model in training mode
+model.train()
+
+# Define optimizer
+optimizer = AdamW(model.parameters(), lr=5e-5)
+
+# Training loop
+epochs = 1
+for epoch in range(epochs):
+    for batch in dataloader:
+        optimizer.zero_grad()
+        outputs = model(batch, labels=batch)
+        loss = outputs.loss
+        loss.backward()
+        optimizer.step()
+        print(f"Epoch: {epoch}, Loss: {loss.item()}")
+
+# Save the fine-tuned model
+model.save_pretrained("./fine_tuned_gpt2_board_games")
+tokenizer.save_pretrained("./fine_tuned_gpt2_board_games")
+
+# %%
+# Load the fine-tuned model and tokenizer
+model = GPT2LMHeadModel.from_pretrained("./fine_tuned_gpt2_board_games")
+tokenizer = GPT2Tokenizer.from_pretrained("./fine_tuned_gpt2_board_games")
+
+# Generate new board game titles
+input_text = "Board Game Title in English: "
+input_ids = tokenizer.encode(input_text, return_tensors="pt")
+output = model.generate(
+    input_ids,
+    max_length=20,
+    num_return_sequences=50,
+    do_sample=True,  # Enable sampling
+    temperature=1.0,  # Adjust the temperature to control randomness
+    top_k=50,  # Use top-k sampling
+    top_p=0.95,  # Use nucleus (top-p) sampling
+    no_repeat_ngram_size=2,
+    early_stopping=True,
+)
+
+# Decode and print the generated titles
+for i, sequence in enumerate(output):
+    print(f"Title {i+1}: {tokenizer.decode(sequence, skip_special_tokens=True)}")
diff --git a/experiments/generate_bg_titles/README.md b/experiments/generate_bg_titles/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/experiments/generate_bg_titles/generate_bg_titles/__init__.py b/experiments/generate_bg_titles/generate_bg_titles/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
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diff --git a/experiments/generate_bg_titles/pyproject.toml b/experiments/generate_bg_titles/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..02fe70b03e995cc0f46aa6dba5608aa11d3771aa
--- /dev/null
+++ b/experiments/generate_bg_titles/pyproject.toml
@@ -0,0 +1,32 @@
+[tool.poetry]
+name = "generate-bg-titles"
+version = "0.1.0"
+description = "Use textgenrnn to generate board game titles"
+authors = ["Markus Shepherd <markus@recommend.games>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "3.12.*"
+
+accelerate = ">=0.32.0"
+torch = "<2.3.0"
+transformers = {extras = ["torch"], version = "*"}
+tqdm = "*"
+
+[tool.poetry.group.dev.dependencies]
+jupyter-black = "*"
+jupyterlab = "*"
+jupytext = "*"
+mypy = "*"
+ruff = "*"
+types-tqdm = "*"
+
+[tool.ruff]
+target-version = "py312"
+
+[tool.mypy]
+python_version = "3.12"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/experiments/generate_bg_titles/tests/__init__.py b/experiments/generate_bg_titles/tests/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391