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docs: Update Nvidia documentation (#21240)

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Updating Nvidia docs ahead for 5/15 competition. 

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Daniel Glogowski
2024-05-03 05:29:03 -07:00
committed by GitHub
parent 70bde15480
commit c3d169ab00
3 changed files with 20 additions and 16 deletions
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12
docs/docs/integrations/chat/nvidia_ai_endpoints.ipynb
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@@ -12,7 +12,7 @@
"The `ChatNVIDIA` class is a LangChain chat model that connects to [NVIDIA AI Foundation Endpoints](https://www.nvidia.com/en-us/ai-data-science/foundation-models/).\n",
"\n",
"\n",
"> [NVIDIA AI Foundation Endpoints](https://www.nvidia.com/en-us/ai-data-science/foundation-models/) give users easy access to NVIDIA hosted API endpoints for NVIDIA AI Foundation Models like Mixtral 8x7B, Llama 2, Stable Diffusion, etc. These models, hosted on the [NVIDIA NGC catalog](https://catalog.ngc.nvidia.com/ai-foundation-models), are optimized, tested, and hosted on the NVIDIA AI platform, making them fast and easy to evaluate, further customize, and seamlessly run at peak performance on any accelerated stack.\n",
"> [NVIDIA AI Foundation Endpoints](https://www.nvidia.com/en-us/ai-data-science/foundation-models/) give users easy access to NVIDIA hosted API endpoints for NVIDIA AI Foundation Models like Mixtral 8x7B, Llama 2, Stable Diffusion, etc. These models, hosted on the [NVIDIA API catalog](https://build.nvidia.com/), are optimized, tested, and hosted on the NVIDIA AI platform, making them fast and easy to evaluate, further customize, and seamlessly run at peak performance on any accelerated stack.\n",
"> \n",
"> With [NVIDIA AI Foundation Endpoints](https://www.nvidia.com/en-us/ai-data-science/foundation-models/), you can get quick results from a fully accelerated stack running on [NVIDIA DGX Cloud](https://www.nvidia.com/en-us/data-center/dgx-cloud/). Once customized, these models can be deployed anywhere with enterprise-grade security, stability, and support using [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/).\n",
"> \n",
@@ -58,13 +58,13 @@
"\n",
"**To get started:**\n",
"\n",
"1. Create a free account with the [NVIDIA NGC](https://catalog.ngc.nvidia.com/) service, which hosts AI solution catalogs, containers, models, etc.\n",
"1. Create a free account with [NVIDIA](https://build.nvidia.com/), which hosts NVIDIA AI Foundation models\n",
"\n",
"2. Navigate to `Catalog > AI Foundation Models > (Model with API endpoint)`.\n",
"2. Click on your model of choice\n",
"\n",
"3. Select the `API` option and click `Generate Key`.\n",
"3. Under `Input` select the `Python` tab, and click `Get API Key`. Then click `Generate Key`.\n",
"\n",
"4. Save the generated key as `NVIDIA_API_KEY`. From there, you should have access to the endpoints."
"4. Copy and save the generated key as `NVIDIA_API_KEY`. From there, you should have access to the endpoints."
]
},
{
@@ -311,7 +311,7 @@
"\n",
"Some model types support unique prompting techniques and chat messages. We will review a few important ones below.\n",
"\n",
"**To find out more about a specific model, please navigate to the API section of an AI Foundation model [as linked here](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-foundation/models/codellama-13b/api).**"
"**To find out more about a specific model, please navigate to the API section of an AI Foundation model [as linked here](https://build.nvidia.com/).**"
]
},
{