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. With Iguazio, Sense’s ML team members can pull data, analyze it, train and run experiments, making the process automated, scalable and cost-effective. 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. With Iguazio, Sense’s data professionals can pull data, analyze it, train and run experiments. With Iguazio, data scientists and ML engineers start having superpowers.”

ML 52

ML ML DataOps Data Scientist 52

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