ODSC - Open Data Science

JANUARY 10, 2024

Using Graphs for Large Feature Engineering Pipelines Wes Madrigal | ML Engineer | Mad Consulting This talk will outline the complexity of feature engineering from raw entity-level data, the reduction in complexity that comes with composable compute graphs, and an example of the working solution. Sign me up!

Large Language Models 52

Large Language Models Deep Learning Data Science LLM 52

AWS Machine Learning Blog

SEPTEMBER 24, 2024

It allows beginners and expert practitioners to develop and deploy Gen AI applications for various use cases beyond simple chatbots, including agentic, multi-agentic, Generative BI, and batch workflows. Data Ingestion Pipeline Ingesting data from diverse sources is essential for executing Retrieval Augmented Generation (RAG).

Data Ingestion 119

Data Ingestion Machine Learning Large Language Models Generative AI 119

AWS Machine Learning Blog

OCTOBER 11, 2024

The following diagram depicts the high-level steps of a RAG process to access an organization’s internal or external knowledge stores and pass the data to the LLM. The workflow consists of the following steps: Either a user through a chatbot UI or an automated process issues a prompt and requests a response from the LLM-based application.

Metadata 104

Metadata Generative AI LLM Data Ingestion 104