diff --git a/poetry.lock b/poetry.lock
index e6706a8..2f0c861 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,24 +2,24 @@
 
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 [[package]]
@@ -35,13 +35,13 @@ files = [
 
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@@ -337,19 +378,19 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
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 [[package]]
 name = "flask"
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 [[package]]
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 python-versions = ">=3.8"
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@@ -455,6 +496,7 @@ adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
 dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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 fuse = ["fusepy"]
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 [package.dependencies]
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 cycler = ">=0.10"
 fonttools = ">=4.22.0"
 kiwisolver = ">=1.3.1"
-numpy = ">=1.21"
+numpy = ">=1.23"
 packaging = ">=20.0"
 pillow = ">=8"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
 [[package]]
 name = "mergedeep"
 version = "1.3.4"
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 [[package]]
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 version = "1.3.0"
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 [package.extras]
-docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -1477,19 +1549,19 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.2"
+version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
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-type = ["mypy (>=1.8)"]
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+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "pluggy"
@@ -1508,17 +1580,17 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "polars"
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 ]
 
 [package.dependencies]
@@ -1526,27 +1598,28 @@ numpy = {version = ">=1.16.0", optional = true, markers = "extra == \"numpy\""}
 pyarrow = {version = ">=7.0.0", optional = true, markers = "extra == \"pyarrow\""}
 
 [package.extras]
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-async = ["nest-asyncio"]
+adbc = ["adbc-driver-manager[dbapi]", "adbc-driver-sqlite[dbapi]"]
+all = ["polars[async,cloudpickle,database,deltalake,excel,fsspec,graph,iceberg,numpy,pandas,plot,pyarrow,pydantic,style,timezone]"]
+async = ["gevent"]
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 cloudpickle = ["cloudpickle"]
 connectorx = ["connectorx (>=0.3.2)"]
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 fsspec = ["fsspec"]
-gevent = ["gevent"]
+gpu = ["cudf-polars-cu12"]
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 numpy = ["numpy (>=1.16.0)"]
 openpyxl = ["openpyxl (>=3.0.0)"]
-pandas = ["pandas", "pyarrow (>=7.0.0)"]
-plot = ["hvplot (>=0.9.1)"]
+pandas = ["pandas", "polars[pyarrow]"]
+plot = ["altair (>=5.4.0)"]
 pyarrow = ["pyarrow (>=7.0.0)"]
 pydantic = ["pydantic"]
-pyxlsb = ["pyxlsb (>=1.0)"]
-sqlalchemy = ["pandas", "sqlalchemy"]
+sqlalchemy = ["polars[pandas]", "sqlalchemy"]
+style = ["great-tables (>=0.8.0)"]
 timezone = ["backports-zoneinfo", "tzdata"]
-torch = ["torch"]
 xlsx2csv = ["xlsx2csv (>=0.8.0)"]
 xlsxwriter = ["xlsxwriter"]
 
@@ -1592,166 +1665,171 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
 [[package]]
 name = "pyarrow"
-version = "16.1.0"
+version = "17.0.0"
 description = "Python library for Apache Arrow"
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 python-versions = ">=3.8"
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 [[package]]
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 [[package]]
@@ -2000,101 +2080,116 @@ dotenv = ["python-dotenv"]
 
 [[package]]
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 [[package]]
 name = "threadpoolctl"
@@ -2570,88 +2693,87 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
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 jinja2 = "*"
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 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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 sympy = "*"
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 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
+optree = ["optree (>=0.11.0)"]
 
 [[package]]
 name = "torch"
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+version = "2.4.1+cu121"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = "*"
 jinja2 = "*"
-mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""}
 networkx = "*"
 nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
@@ -2659,12 +2781,12 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
 nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
+optree = ["optree (>=0.11.0)"]
 
 [package.source]
 type = "legacy"
@@ -2673,66 +2795,68 @@ reference = "torch_cuda"
 
 [[package]]
 name = "torchvision"
-version = "0.18.0"
+version = "0.19.1"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.3.0"
+torch = "2.4.1"
 
 [package.extras]
+gdown = ["gdown (>=4.7.3)"]
 scipy = ["scipy"]
 
 [[package]]
 name = "torchvision"
-version = "0.18.0+cu121"
+version = "0.19.1+cu121"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "torchvision-0.19.1+cu121-cp310-cp310-linux_x86_64.whl", hash = "sha256:b8cc4bf381b75522995b601e07a1b433b5fd925dc3e34a7fa6cd22f449d65379"},
+    {file = "torchvision-0.19.1+cu121-cp310-cp310-win_amd64.whl", hash = "sha256:e530c6bbb72f587f0e94740758f005c99e6de871ed9d10afffd8f18bd41e5df0"},
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+    {file = "torchvision-0.19.1+cu121-cp312-cp312-linux_x86_64.whl", hash = "sha256:fb0cd0622e349df84ad73bad8ebbea6b1c74f033dadd84d9a80cf4a291927eae"},
+    {file = "torchvision-0.19.1+cu121-cp312-cp312-win_amd64.whl", hash = "sha256:a1627f99b9a7ac36f14d1ee207e71cf7ac52329c6317b580980fcc1916fe1276"},
+    {file = "torchvision-0.19.1+cu121-cp38-cp38-linux_x86_64.whl", hash = "sha256:3052f9722dc39fd7f026b44a6fbdef93ab28f7952007012ce84d313d67964011"},
+    {file = "torchvision-0.19.1+cu121-cp38-cp38-win_amd64.whl", hash = "sha256:7779b5dbe10994380d8baf5d7c754e6f57dac0f513009e003525f13a29f45491"},
+    {file = "torchvision-0.19.1+cu121-cp39-cp39-linux_x86_64.whl", hash = "sha256:14530dee0cc4c7c06024f0bdcc957f77de0d2b90e9b72219dcd621fa29525d00"},
+    {file = "torchvision-0.19.1+cu121-cp39-cp39-win_amd64.whl", hash = "sha256:5529733c7f8dc85c17499d5cd6d18e318d24334d06ba58d115157e94ae86a9bc"},
 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.3.0"
+torch = "2.4.1"
 
 [package.extras]
+gdown = ["gdown (>=4.7.3)"]
 scipy = ["scipy"]
 
 [package.source]
@@ -2742,13 +2866,13 @@ reference = "torch_cuda"
 
 [[package]]
 name = "tqdm"
-version = "4.66.4"
+version = "4.66.5"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
-    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
+    {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
+    {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
 ]
 
 [package.dependencies]
@@ -2762,18 +2886,18 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.41.1"
+version = "4.44.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 [package.dependencies]
 filelock = "*"
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 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
@@ -2786,14 +2910,15 @@ tqdm = ">=4.27"
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -2804,41 +2929,41 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
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 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
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 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
 serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
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 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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@@ -2846,18 +2971,18 @@ filelock = "*"
 
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 ]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11,<3.13"
-content-hash = "6294c31fa80d874926d4750b9459bb1bc279174c4ff3d13f4885ff590a4ca61a"
+content-hash = "6ec8eab8343db70ef2d6260b98adb787a869d52839221df6e7b39aee164d6c03"
diff --git a/pyproject.toml b/pyproject.toml
index d1b1488..2fb9f1c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,14 +17,14 @@ safe-ds-runner = "safeds_runner.main:main"
 
 [tool.poetry.dependencies]
 python = "^3.11,<3.13"
-safe-ds = ">=0.26.0,<0.28.0"
+safe-ds = ">=0.28.0,<0.29.0"
 hypercorn = ">=0.16,<0.18"
 psutil = ">=5.9.8,<7.0.0"
-pydantic = "^2.7.0"
+pydantic = "^2.9.2"
 quart = "^0.19.4"
 
 [tool.poetry.dev-dependencies]
-pytest = "^8.3.2"
+pytest = "^8.3.3"
 pytest-cov = "^5.0.0"
 pytest-timeout = "^2.3.1"
 pytest-asyncio = "^0.24.0"
@@ -32,14 +32,14 @@ simple-websocket = "^1.0.0"
 torch = [
     # Install the CUDA version on Windows. Projects that depend on us always get their dependencies from PyPI, so
     # there's no point moving this to the main dependencies section.
-    { version = "^2.3.0", markers="sys_platform == 'win32'", source = "torch_cuda" },
-    { version = "^2.3.0", markers="sys_platform != 'win32'", source = "pypi" },
+    { version = "^2.4.1", markers="sys_platform == 'win32'", source = "torch_cuda" },
+    { version = "^2.4.1", markers="sys_platform != 'win32'", source = "pypi" },
 ]
 torchvision = [
     # Install the CUDA version on Windows. Projects that depend on us always get their dependencies from PyPI, so
     # there's no point moving this to the main dependencies section.
-    { version = "^0.18.0", markers="sys_platform == 'win32'", source = "torch_cuda" },
-    { version = "^0.18.0", markers="sys_platform != 'win32'", source = "pypi" },
+    { version = "^0.19.1", markers="sys_platform == 'win32'", source = "torch_cuda" },
+    { version = "^0.19.1", markers="sys_platform != 'win32'", source = "pypi" },
 ]
 
 [tool.poetry.group.docs.dependencies]