AI Tools Auto-classification Auto-complete Automation 
ODSC - Open Data Science
OCTOBER 11, 2023
Rather than solely focusing on model architecture, hyperparameters, and training tricks as the sole drivers of model improvement, data-centric AI utilizes the model itself to systematically improve the dataset (such that a better version of the model can be produced even without any change in the modeling code).
AWS Machine Learning Blog
MARCH 28, 2024
These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account.
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The MLOps Blog
JUNE 27, 2023
This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.
APRIL 13, 2023
For instance, a financial firm that needs to auto-generate a daily activity report for internal circulation using all the relevant transactions can customize the model with proprietary data, which will include past reports, so that the FM learns how these reports should read and what data was used to generate them.
The MLOps Blog
MARCH 12, 2024
LLMOps is key to turning LLMs into scalable, production-ready AI tools. Models are part of chains and agents, supported by specialized tools like vector databases. Monitoring Monitor model performance for data drift and model degradation, often using automated monitoring tools.
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