Dataconomy

NOVEMBER 11, 2024

Data preparation for LLM fine-tuning Proper data preparation is key to achieving high-quality results when fine-tuning LLMs for specific purposes. Importance of quality data in fine-tuning Data quality is paramount in the fine-tuning process.

Data Preparation 203

Data Preparation Database Data Quality Machine Learning 203

Dataconomy

NOVEMBER 20, 2023

In a major move to revolutionize AI education, Amazon has launched the AWS AI Ready courses, offering eight free courses in AI and generative AI. To get 2 million people worldwide with essential AI skills by 2025. At its core, the AI Ready initiative is a multifaceted approach to empower 2 million individuals with AI skills by 2025.

AWS 195

AWS AI AI Artificial Intelligence 195

Flipboard

MAY 28, 2025

Amazon Web Services (AWS) addresses this gap with Amazon SageMaker Canvas , a low-code ML service that simplifies model development and deployment. SageMaker Canvas guides users through the entire ML lifecycle using a point-and-click interface, built-in data preparation tools, and automated model building capabilities.

Machine Learning 118

Machine Learning Machine Learning ML ML 118

AWS Machine Learning Blog

APRIL 30, 2025

We recommend referring to the Submit a model distillation job in Amazon Bedrock in the official AWS documentation for the most up-to-date and comprehensive information. Preparing your data Effective data preparation is crucial for successful distillation of agent function calling capabilities.

AWS 110

AWS AI AI Computer Science 110

How to Learn Machine Learning

APRIL 16, 2025

In this article we will speak about Serverless Machine learning in AWS, so sit back, relax, and enjoy! Introduction to Serverless Machine Learning in AWS Serverless computing reshapes machine learning (ML) workflow deployment through its combination of scalability and low operational cost, and reduced total maintenance expenses.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

ODSC - Open Data Science

MARCH 18, 2025

With over 30 years in techincluding key roles at Hugging Face, AWS, and as a startup CTOhe brings unparalleled expertise in cloud computing and machine learning. This session covers key CV concepts, real-world use cases, and step-by-step guidance on data preparation, model selection, and fine-tuning.

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

Pickl AI

APRIL 9, 2025

It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. Introduction In todays data-driven world, organizations are overwhelmed with vast amounts of information. Cost : Is the pricing predictable and within budget?

ETL 52

ETL Data Warehouse AWS Business Intelligence 52