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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-regression-explanations.html
For the option to set the user name, you can set it to NULL. mysql> CALL sys.ML_MODEL_LOAD(@model, NULL); The following example uses the model handle. mysql> CALL sys.ML_MODEL_LOAD('regression_use_case', NULL); Use the ML_EXPLAIN_TABLE routine to ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-a-recommendation-model-ratings-rankings.html
For the option to set the user name, you can set it to NULL. mysql> CALL sys.ML_MODEL_LOAD(@model, NULL); The following example uses the model handle. mysql> CALL sys.ML_MODEL_LOAD('recommendation_use_case', NULL); Make predictions for the test ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-a-recommendation-model-similar-items.html
For the option to set the user name, you can set it to NULL. mysql> CALL sys.ML_MODEL_LOAD(@model, NULL); The following example uses the model handle. mysql> CALL sys.ML_MODEL_LOAD('recommendation_use_case', NULL); Make predictions for the test ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-a-recommendation-model-similar-users.html
For the option to set the user name, you can set it to NULL. mysql> CALL sys.ML_MODEL_LOAD(@model, NULL); The following example uses the model handle. mysql> CALL sys.ML_MODEL_LOAD('recommendation_use_case', NULL); Make predictions for the test ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-byo-embedding-tables.html
GenAI lets you use tables containing your own vector embedding to run retrieval-augmented generation (RAG) with vector search. The ML_RAG and ML_RAG_TABLE routines let you specify the table column names to use as filters for finding relevant tables ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-generate-content.html
It supports various features like SQL queries, indexing, transactions, and security, making it a popular choice for web applications, enterprise software, and mobile apps development.", "error": null, "license": "Your use of this Llama model is ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-rag.html
The ML_RAG routine runs retrieval-augmented generation which aims to generate more accurate responses for your queries. For context retrieval, the ML_RAG routine uses the name of the embedding model used to embed the input query to find relevant ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-summarize-content.html
With numerous applications across industries, AI has the potential to revolutionize various aspects of life, but also raises concerns about employment, privacy, and safety.", "error": null} *************************** 3. Reinforcement learning ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-score.html
mysql> CALL sys.ML_SCORE('census_data.census_train', 'revenue', 'census_data.census_train_admin_1745439945171', 'balanced_accuracy', @score, NULL); Query OK, 0 rows affected (3.0536 sec) mysql> SELECT @score; +--------------------+ | @score | ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-vector-store-load.html
The VECTOR_STORE_LOAD routine generates vector embedding for the specified files or folders that are , and loads the embeddings into a new vector store table. This routine creates an asynchronous task which loads vector store tables in the ...