Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update links in get_started.ipynb #369

Merged
merged 2 commits into from
Dec 18, 2024
+7 −7
Merged

Update links in get_started.ipynb #369

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
1f26cad
Update links in get_started.ipynb
shilpakancharla Dec 18, 2024
e91b035
Reformat notebook
shilpakancharla Dec 18, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions gemini-2/get_started.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "9r9Ggw012g9c"
Expand Down Expand Up @@ -379,7 +379,7 @@
"source": [
"## Configure model parameters\n",
"\n",
"You can include parameter values in each call that you send to a model to control how the model generates a response. Learn more about [experimenting with parameter values](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/adjust-parameter-values)."
"You can include parameter values in each call that you send to a model to control how the model generates a response. Learn more about [experimenting with parameter values](https://ai.google.dev/gemini-api/docs/text-generation?lang=node#configure)."
]
},
{
Expand Down Expand Up @@ -431,7 +431,7 @@
"source": [
"## Configure safety filters\n",
"\n",
"The Gemini API provides safety filters that you can adjust across multiple filter categories to restrict or allow certain types of content. You can use these filters to adjust what's appropriate for your use case. See the [Configure safety filters](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/configure-safety-filters) page for details."
"The Gemini API provides safety filters that you can adjust across multiple filter categories to restrict or allow certain types of content. You can use these filters to adjust what's appropriate for your use case. See the [Configure safety filters](https://ai.google.dev/gemini-api/docs/safety-settings) page for details."
]
},
{
Expand Down Expand Up @@ -714,7 +714,7 @@
"source": [
"## Generate JSON\n",
"\n",
"The [controlled generation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/control-generated-output) capability in Gemini API allows you to constraint the model output to a structured format. You can provide the schemas as Pydantic Models or a JSON string."
"The [controlled generation](https://ai.google.dev/gemini-api/docs/structured-output?lang=python#generate-json) capability in Gemini API allows you to constraint the model output to a structured format. You can provide the schemas as Pydantic Models or a JSON string."
]
},
{
Expand Down Expand Up @@ -962,7 +962,7 @@
"source": [
"## Function calling\n",
"\n",
"[Function calling](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling) lets you provide a set of tools that it can use to respond to the user's prompt. You create a description of a function in your code, then pass that description to a language model in a request. The response from the model includes the name of a function that matches the description and the arguments to call it with."
"[Function calling](https://ai.google.dev/gemini-api/docs/function-calling) lets you provide a set of tools that it can use to respond to the user's prompt. You create a description of a function in your code, then pass that description to a language model in a request. The response from the model includes the name of a function that matches the description and the arguments to call it with."
]
},
{
Expand Down Expand Up @@ -1912,7 +1912,7 @@
"source": [
"## Use context caching\n",
"\n",
"[Context caching](https://cloud.google.com/vertex-ai/generative-ai/docs/context-cache/context-cache-overview) lets you to store frequently used input tokens in a dedicated cache and reference them for subsequent requests, eliminating the need to repeatedly pass the same set of tokens to a model.\n",
"[Context caching](https://ai.google.dev/gemini-api/docs/caching?lang=python) lets you to store frequently used input tokens in a dedicated cache and reference them for subsequent requests, eliminating the need to repeatedly pass the same set of tokens to a model.\n",
"\n",
"Context caching is only available for stable models with fixed versions (for example, `gemini-1.5-pro-002`). You must include the version postfix (for example, the `-002` in `gemini-1.5-pro-002`). It is not yet available of Gemini 2.0 because it is an experimental model. You can find more caching examples [here](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Caching.ipynb)."
]
Expand Down Expand Up @@ -2107,7 +2107,7 @@
"source": [
"## Get text embeddings\n",
"\n",
"You can get text embeddings for a snippet of text by using `embed_content` method. All models produce an output with 768 dimensions by default. However, some models give users the option to choose an output dimensionality between 1 and 768. See [Vertex AI text embeddings API](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings) for more details."
"You can get text embeddings for a snippet of text by using `embed_content` method. All models produce an output with 768 dimensions by default. However, some models give users the option to choose an output dimensionality between 1 and 768. See the [embeddings guide](https://ai.google.dev/gemini-api/docs/embeddings) for more details."
]
},
{
Expand Down
Loading