Skip to content

Commit

Permalink
fix links in nbs (#697)
Browse files Browse the repository at this point in the history
rnyak authored Oct 19, 2022

Verified

This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
1 parent 00ec0d1 commit 118495b
Showing 2 changed files with 8 additions and 8 deletions.
Original file line number Diff line number Diff line change
@@ -28,20 +28,20 @@
"id": "ad9b5cc0-2110-464e-9773-003ffe7d216c",
"metadata": {},
"source": [
"<img src=\"http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png\" style=\"width: 90px; float: right;\">\n",
"<img src=\"https://developer.download.nvidia.com/notebooks/dlsw-notebooks/merlin_merlin_01-building-recommender-systems-with-merlin/nvidia_logo.png\" style=\"width: 90px; float: right;\"> \n",
"\n",
"## Building Intelligent Recommender Systems with Merlin\n",
"\n",
"This notebook is created using the latest stable [merlin-tensorflow-inference](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow-inference/tags) container. \n",
"\n",
"### Overview"
"This notebook is created using the latest stable [merlin-tensorflow](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow/tags) container. "
]
},
{
"cell_type": "markdown",
"id": "f9657308-2e08-49b4-8924-eace75a4634c",
"metadata": {},
"source": [
"### Overview\n",
"\n",
"Recommender Systems (RecSys) are the engine of the modern internet and the catalyst for human decisions. Building a recommendation system is challenging because it requires multiple stages (data preprocessing, offline training, item retrieval, filtering, ranking, ordering, etc.) to work together seamlessly and efficiently. The biggest challenges for new practitioners are the lack of understanding around what RecSys look like in the real world, and the gap between examples of simple models and a production-ready end-to-end recommender systems."
]
},
@@ -126,7 +126,7 @@
"outputs": [],
"source": [
"# for running this example on GPU, install the following libraries\n",
"# %pip install tensorflow \"feast<0.20\" faiss-gpu\n",
"# %pip install \"feast<0.20\" faiss-gpu\n",
"\n",
"# for running this example on CPU, uncomment the following lines\n",
"# %pip install tensorflow-cpu \"feast<0.20\" faiss-cpu\n",
Original file line number Diff line number Diff line change
@@ -32,7 +32,7 @@
"\n",
"## Deploying a Multi-Stage RecSys into Production with Merlin Systems and Triton Inference Server\n",
"\n",
"This notebook is created using the latest stable [merlin-tensorflow-inference](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow-inference/tags) container. \n",
"This notebook is created using the latest stable [merlin-tensorflow](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow/tags) container. \n",
"\n",
"At this point, when you reach out to this notebook, we expect that you have already executed the first notebook `01-Building-Recommender-Systems-with-Merlin.ipynb` and exported all the required files and models. \n",
"\n",
@@ -68,11 +68,11 @@
"id": "a27e18d7-b3e4-481c-b69e-23193b212c56",
"metadata": {},
"source": [
"At this step, we assume you already installed the tensorflow-gpu (or -cpu), feast and faiss-gpu (or -cpu) libraries when running the first notebook `01-Building-Recommender-Systems-with-Merlin.ipynb`. \n",
"At this step, we assume you already installed feast and faiss-gpu (or -cpu) libraries when running the first notebook `01-Building-Recommender-Systems-with-Merlin.ipynb`. \n",
"\n",
"In case you need to install them for running this example on GPU, execute the following script in a cell.\n",
"```\n",
"%pip install tensorflow \"feast<0.20\" faiss-gpu\n",
"%pip install \"feast<0.20\" faiss-gpu\n",
"```\n",
"or the following script in a cell for CPU.\n",
"```\n",

0 comments on commit 118495b

Please sign in to comment.