The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

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Generative AI Prompt Engineer Prompt Engineering ML Engineer 117

Towards AI

SEPTEMBER 22, 2023

Last Updated on September 23, 2023 by Editorial Team Author(s): Kelvin Lu Originally published on Towards AI. One example is prompt engineering. Prompt engineering has proved to be very useful. Some people foresaw the emergence of prompt engineer as a new title. Is this the future of the ML engineer?

Prompt Engineer 59

Prompt Engineer Prompt Engineering ML ML Engineer 59

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. AI development stack: AutoML, ML frameworks, no-code/low-code development. The post Use your data to build your AI moat: The Future of Data-Centric AI 2023 appeared first on Snorkel AI. Explore the full agenda here.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. AI development stack: AutoML, ML frameworks, no-code/low-code development. The post Use your data to build your AI moat: The Future of Data-Centric AI 2023 appeared first on Snorkel AI. Explore the full agenda here.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

AWS Machine Learning Blog

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. This record-keeping allows developers and researchers to maintain consistency, reproduce results, and iterate on their work effectively.

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LLM Large Language Models ML Algorithm 114

Snorkel AI

JUNE 9, 2023

Among other topics, he highlighted how visual prompts and parameter-efficient models enable rapid iteration for improved data quality and model performance. He also described a near future where large companies will augment the performance of their finance and tax professionals with large language models, co-pilots, and AI agents.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52