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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-forecasts.html
Some examples of forecasting include predicting the closing price of a stock, predicting the number of units sold in a day, and predicting the average price of gasoline. The following tasks use a dataset generated by OCI GenAI using Meta Llama ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-monitoring.html
You can monitor the status of AutoML by querying the rapid_ml_status variable or by querying the ML_STATUS column of the performance_schema.rpd_nodes table. Query the rapid_ml_status Variable The rapid_ml_status variable provides the status of ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-recommendations.html
Recommendation models find patterns in user behavior to recommend products and users based on prior behavior and preferences. Common examples include a streaming service recommending movies and shows based on past viewing history, or an online ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-regression.html
Machine learning regression models generate predictions based on the relationship between a dependent variable and one or more independent variables. Some examples of regression analysis include predicting sales during different seasons, predicting ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-topic-modeling.html
Topic modeling is an unsupervised machine learning technique that's capable of scanning a set of documents, detecting word and phrase patterns within them, and automatically clustering word groups and similar expressions that best characterize the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-training-an-anomaly-detection-model.html
After preparing the data for an anomaly detection model, you can train the model. Requirements for Anomaly Detection Training Consider the following based on the type of anomaly detection you are running: Set the task parameter to anomaly_detection ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-chat-details.html
This topic describes how to view a chat session details. It contains the following sections: Before You Begin Viewing Details What's Next Before You Begin Complete the steps to run GenAI Chat. Viewing Details To view the chat session details, ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-chat.html
You can use GenAI Chat to simulate human-like conversations where you can get responses for multiple queries in the same session. GenAI Chat is a conversational agent that utilizes large language models (LLMs) to understand inputs and responds in ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-generate-embeddings.html
This section describes how to generate vector embeddings using the ML_EMBED_ROW routine. Vector embeddings are a numerical representation of the text that capture the semantics of the data and relationships to other data. You can pass the text ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-run-chat.html
When you run GenAI Chat, it automatically loads the llama3.2-3b-instruct-v1 LLM. By default, GenAI Chat searches for an answer to a query across all ingested documents by automatically discovering available vector stores, and returns the answer ...