ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

Bugra Akyildiz

FEBRUARY 24, 2024

Responsible AI Development: Phi-2 highlights the importance of considering responsible development practices when building large language models. Distributed computing platforms: Spark and Ray enable parallel processing and model training on large datasets,crucial for real-time scalability.

Large Language Models 52

Large Language Models LLM Data Ingestion Neural Network 52

The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. Responsible AI and explainability. What do they want to accomplish? Model serving. Monitoring and observability.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Flipboard

NOVEMBER 27, 2024

To demonstrate, we create a generative AI-enabled Slack assistant with an integration to Amazon Bedrock Knowledge Bases that can expose the combined knowledge of the AWS Well-Architected Framework while implementing safeguards and responsible AI using Amazon Bedrock Guardrails.

Generative AI 145

Generative AI Data Ingestion AI AI 145