Marktechpost

APRIL 1, 2024

Addressing this challenge requires a solution that is scalable, versatile, and accessible to a wide range of users, from individual researchers to large teams working on the state-of-the-art side of AI development. Existing research emphasizes the significance of distributed processing and data quality control for enhancing LLMs.

Large Language Models 92

Large Language Models ETL Data Ingestion Data Quality 92

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 199

Data Ingestion Data Integration Data Quality LLM 199

Snorkel AI

JANUARY 24, 2023

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Users are able to rapidly improve training data quality and model performance using integrated error analysis to develop highly accurate and adaptable AI applications.

Data Ingestion 52

Data Ingestion AI AI Machine Learning 52

Snorkel AI

JANUARY 24, 2023

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Users are able to rapidly improve training data quality and model performance using integrated error analysis to develop highly accurate and adaptable AI applications.

Data Ingestion 52

Data Ingestion AI AI Machine Learning 52