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Embedding techniques: A way to empower language models

Data Science Dojo

In the ever-evolving landscape of natural language processing (NLP), embedding techniques have played a pivotal role in enhancing the capabilities of language models. Creating embeddings with Azure OpenAI is a matter of a few lines of code. Create your emb e d di n g s And you’re done!

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Top 6 Kubernetes use cases

IBM Journey to AI blog

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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Announcing ODSC West and APAC 2023

ODSC - Open Data Science

In 2014 she was named the world’s first Chief AI Ethics officer. Vargas’ responsibilities at Microsoft also include advisor to Microsoft CTO, AI scalability, and strategy expert, and lead for the organization’s AI at Scale Initiative and Azure Database Services.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. While AWS is usually the winner when it comes to data science and machine learning, it’s Microsoft Azure that’s taking the lead for prompt engineering job descriptions. NLP skills have long been essential for dealing with textual data.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Data Processing Tools These tools are essential for handling large volumes of unstructured data. They assist in efficiently managing and processing data from multiple sources, ensuring smooth integration and analysis across diverse formats.