Data Science Dojo
FEBRUARY 8, 2024
The Global Vectors for Word Representation ( GloVe ) model, introduced by Stanford researchers in 2014, aimed to leverage global statistical information about word co-occurrences. Creating embeddings with Azure OpenAI is a matter of a few lines of code. Hence, choosing a suitable model is a good starting point for your use case.
Dataconomy
SEPTEMBER 27, 2023
The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.
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JANUARY 26, 2023
Its enterprise clients drive the vast majority of its revenue, through products like Microsoft 365 and Azure. It acquired the AI research lab DeepMind in 2014, before OpenAI even existed. Google, by contrast, is very visible to and much-used by the general consumer, owning everything from Chrome to Gmail to YouTube.
phData
MAY 25, 2023
In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform. Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. This ensures the maximum amount of Snowflake consumption possible.
IBM Journey to AI blog
NOVEMBER 13, 2023
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 ).
Cambridge Intelligence
OCTOBER 19, 2023
In this post, we’ll take a look at some of the factors you could investigate, and introduce the six databases our customers work with most often: Amazon Neptune ArangoDB Azure Cosmos DB JanusGraph Neo4j TigerGraph Why these six graph databases?
ODSC - Open Data Science
MAY 25, 2023
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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