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docs: update embedding model notebooks #906

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GarrettWu merged 4 commits into from
Aug 20, 2024
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docs: update embedding model notebooks #906

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fc223f8
feat: add llm.TextEmbeddingGenerator to support new embedding models
GarrettWu Aug 19, 2024
c69b947
fix docs
GarrettWu Aug 19, 2024
99386a5
Merge remote-tracking branch 'github/main' into garrettwu-embed2
GarrettWu Aug 19, 2024
1c41a13
docs: update embedding notebooks
GarrettWu Aug 19, 2024
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4 changes: 2 additions & 2 deletions notebooks/generative_ai/bq_dataframes_llm_code_generation.ipynb
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Expand Up @@ -89,7 +89,7 @@
"\n",
"The steps include:\n",
"\n",
"- Defining an LLM model in BigQuery DataFrames, specifically the [`text-bison` model of the PaLM API](https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text), using `bigframes.ml.llm`.\n",
"- Defining an LLM model in BigQuery DataFrames, specifically the [Gemini Model](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-models), using `bigframes.ml.llm`.\n",
"- Creating a DataFrame by reading in data from Cloud Storage.\n",
"- Manipulating data in the DataFrame to build LLM prompts.\n",
"- Sending DataFrame prompts to the LLM model using the `predict` method.\n",
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"source": [
"# Define the LLM model\n",
"\n",
"BigQuery DataFrames provides integration with [`text-bison` model of the PaLM API](https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text) via Vertex AI.\n",
"BigQuery DataFrames provides integration with [Gemini Models](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-models) via Vertex AI.\n",
"\n",
"This section walks through a few steps required in order to use the model in your notebook."
]
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