AWS Machine Learning Blog

MARCH 27, 2025

Generative AI supports key use cases such as content creation, summarization, code generation, creative applications, data augmentation, natural language processing, scientific research, and many others. Sonnet prediction accuracy through prompt engineering. This started occurring after upgrading to version 4.2.1.

Categorization 101

Categorization ETL Prompt Engineer Prompt Engineering 101

AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. Operational efficiency Uses prompt engineering, reducing the need for extensive fine-tuning when new categories are introduced. A prompt is natural language text describing the task that an AI should perform.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

IBM Journey to AI blog

JULY 17, 2023

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. To bridge the tuning gap, watsonx.ai

Machine Learning 186

Machine Learning Metadata Automation AI 186

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Generative AI 122

Generative AI Prompt Engineer Prompt Engineering ML 122

AWS Machine Learning Blog

APRIL 16, 2024

You can use these connections for both source and target data, and even reuse the same connection across multiple crawlers or extract, transform, and load (ETL) jobs. The way you craft a prompt can profoundly influence the nature and usefulness of the AI’s response. In his free time, he enjoys playing chess and traveling.

Data Scientist 109

Data Scientist Generative AI Machine Learning ML 109

AWS Machine Learning Blog

JANUARY 7, 2025

Traditional NLP pipelines and ML classification models Traditional natural language processing pipelines struggle with email complexity due to their reliance on rigid rules and poor handling of language variations, making them impractical for dynamic client communications.

Generative AI 98

Generative AI Automation Data Extraction ETL 98