IBM Journey to AI blog

JANUARY 9, 2024

In the generative AI or traditional AI development cycle, data ingestion serves as the entry point. Here, raw data that is tailored to a company’s requirements can be gathered, preprocessed, masked and transformed into a format suitable for LLMs or other models.

Data Ingestion 222

Data Ingestion Data Integration Data Quality LLM 222

AWS Machine Learning Blog

OCTOBER 6, 2023

Generative AI developers can use frameworks like LangChain , which offers modules for integrating with LLMs and orchestration tools for task management and prompt engineering. A feature store maintains user profile data. A media metadata store keeps the promotion movie list up to date.

Generative AI 128

Generative AI LLM Natural Language Processing Metadata 128

ODSC - Open Data Science

FEBRUARY 25, 2025

Large Language Models & RAG TrackMaster LLMs & Retrieval-Augmented Generation Large language models (LLMs) and retrieval-augmented generation (RAG) have become foundational to AI development. AI Engineering TrackBuild Scalable AISystems Learn how to bridge the gap between AI development and software engineering.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52