BAIR

FEBRUARY 17, 2024

DataOps: Because many AI systems involve data serving components like vector DBs, and their behavior depends on the quality of data served, any focus on operations for these systems should additionally span data pipelines. Operation: LLMOps and DataOps. for GPT-4 with 5-shot prompting or 83.7%

AI 145

AI AI DataOps Data Pipeline 145

Iguazio

JANUARY 16, 2024

Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. Establishing a deployment and monitoring strategy - Sense needed to create a sound deployment and monitoring strategy in a cost-effective and straightforward manner. Enabling quick experimentation.

ML 52

ML ML DataOps Data Scientist 52

Iguazio

JANUARY 16, 2024

Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. Establishing a deployment and monitoring strategy - Sense needed to create a sound deployment and monitoring strategy in a cost-effective and straightforward manner. Enabling quick experimentation.

ML 52

ML ML DataOps Data Scientist 52

AWS Machine Learning Blog

APRIL 17, 2023

You can integrate a Data Wrangler data preparation flow into your machine learning (ML) workflows to simplify data preprocessing and feature engineering, taking data preparation to production faster without the need to author PySpark code, install Apache Spark, or spin up clusters.

AWS 103

AWS Python ML ML 103

BAIR

FEBRUARY 18, 2024

DataOps: Because many AI systems involve data serving components like vector DBs, and their behavior depends on the quality of data served, any focus on operations for these systems should additionally span data pipelines. Operation: LLMOps and DataOps. for GPT-4 with 5-shot prompting or 83.7%

AI 40

AI AI DataOps Data Pipeline 40