Module llm (1.10.0)

Version 1.10.0

• 1.25.0 (latest)
• 1.24.0
• 1.22.0
• 1.21.0
• 1.20.0
• 1.19.0
• 1.18.0
• 1.17.0
• 1.16.0
• 1.15.0
• 1.14.0
• 1.13.0
• 1.12.0
• 1.11.1
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.26.0
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.1
• 0.19.2
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.14.1
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.0

LLM models.

Classes

GeminiTextGenerator

GeminiTextGenerator(
    *,
    model_name: typing.Literal[
        "gemini-pro", "gemini-1.5-pro-preview-0514", "gemini-1.5-flash-preview-0514"
    ] = "gemini-pro",
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None,
    max_iterations: int = 300
)

Gemini text generator LLM model.

Parameters
Name	Description
model_name	str, Default to "gemini-pro" The model for natural language tasks. Accepted values are "gemini-pro", "gemini-1.5-pro-preview-0514" and "gemini-1.5-flash-preview-0514". Default to "gemini-pro".
session	bigframes.Session or None BQ session to create the model. If None, use the global default session.
connection_name	str or None Connection to connect with remote service. str of the format <PROJECT_NUMBER/PROJECT_ID>.
max_iterations	Optional[int], Default to 300 The number of steps to run when performing supervised tuning.

PaLM2TextEmbeddingGenerator

PaLM2TextEmbeddingGenerator(
    *,
    model_name: typing.Literal[
        "textembedding-gecko", "textembedding-gecko-multilingual"
    ] = "textembedding-gecko",
    version: typing.Optional[str] = None,
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None
)

PaLM2 text embedding generator LLM model.

Parameters
Name	Description
model_name	str, Default to "textembedding-gecko" The model for text embedding. “textembedding-gecko” returns model embeddings for text inputs. "textembedding-gecko-multilingual" returns model embeddings for text inputs which support over 100 languages. Default to "textembedding-gecko".
version	str or None Model version. Accepted values are "001", "002", "003", "latest" etc. Will use the default version if unset. See https://cloud.google.com/vertex-ai/docs/generative-ai/learn/model-versioning for details.
session	bigframes.Session or None BQ session to create the model. If None, use the global default session.
connection_name	str or None Connection to connect with remote service. str of the format <PROJECT_NUMBER/PROJECT_ID>.

PaLM2TextGenerator

PaLM2TextGenerator(
    *,
    model_name: typing.Literal["text-bison", "text-bison-32k"] = "text-bison",
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None,
    max_iterations: int = 300
)

PaLM2 text generator LLM model.

Parameters
Name	Description
model_name	str, Default to "text-bison" The model for natural language tasks. “text-bison” returns model fine-tuned to follow natural language instructions and is suitable for a variety of language tasks. "text-bison-32k" supports up to 32k tokens per request. Default to "text-bison".
session	bigframes.Session or None BQ session to create the model. If None, use the global default session.
connection_name	str or None Connection to connect with remote service. str of the format <PROJECT_NUMBER/PROJECT_ID>.
max_iterations	Optional[int], Default to 300 The number of steps to run when performing supervised tuning.