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MySQL AI 9.5 :: 4.9 AutoML Limitations
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-limitations.html
Limiting operations to batches of 10 to 100 rows by splitting large tables into smaller tables is recommended. Text Handling Limitations AutoML only supports datasets in the English language. MySQL HeatWave AutoML does not support TEXT columns with ...
MySQL AI 9.5 :: 4.7.1.2 Model Metadata
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-ml-model-metadata.html
chunks: number The total number of chunks that the model has been split into. The model_metadata column in the model catalog allows you to view detailed information on trained models. For example, you can view the algorithm used to train the model, ...
MySQL AI 9.5 :: 4.7.7.1 ONNX Models Overview
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-onnx-import-overview.html
You cannot directly load models in ONNX format (.onnx) into a MySQL table. The models require string serialization and conversion to Base64 encoding before you use the ML_MODEL_IMPORT routine. AutoML supports the following ONNX model types: An ONNX ...
MySQL AI 9.5 :: 4.7.7.2 ONNX Model Metadata
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-onnx-metadata.html
To learn more about model metadata in the model catalog, see Model Metadata. ONNX Inputs Info Use the data_types_map to map the data type of each column to an ONNX model data type. For example, to convert inputs of the type tensor(float) to ...
MySQL AI 9.5 :: 4.6.3.4 Training a Forecasting Model
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-training-a-forecasting-model.html
The forecast models SARIMAXForecaster, VARMAXForecaster, and DynFactorForecaster cannot back test, that is forecast into training data, when using exogenous_variables. After preparing the data for a forecasting model, you can train the model.
MySQL AI 9.5 :: 5.1 About GenAI
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-overview.html
Benefits GenAI lets you integrate generative AI into the applications, providing an integrated end-to-end pipeline including vector store generation, vector search with RAG, and an inbuilt chatbot. The GenAI feature of MySQL AI lets you communicate ...
MySQL AI 9.5 :: 5.2 Additional GenAI Requirements
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-requirements.html
To use the GenAI feature of MySQL AI, you must place the files that you want to ingest into the vector store in the local directory that you specified in the Vector Store tab in the MySQL AI installer. Vector store can ingest files in the following ...
MySQL AI 9.5 :: 5.10 Generating SQL Queries From Natural-Language Statements
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-nl-sql.html
GenAI lets you generate SQL queries from natural-language statements, making it easier for you to interact with your databases. This feature collects information on the schemas, tables, and columns that you have access to, and then uses a Large ...
MySQL AI 9.5 :: 8.2.2 ML_GENERATE_TABLE
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-generate-table.html
A higher value of p introduces more randomness into the output. The ML_GENERATE_TABLE routine runs multiple text generation or summarization queries in a batch, in parallel. The output generated for every input query is the same as the output ...
MySQL AI 9.5 :: 8.2.1 ML_GENERATE
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-generate.html
A higher value of p introduces more randomness into the output. The ML_GENERATE routine uses the specified large language model (LLM) to generate text-based content as a response for the given natural-language query. It can include the following ...
Displaying 1791 to 1800 of 1802 total results