CIO
APRIL 11, 2024
Sean Spittle, lead software developer and managing partner at InspectNTrack, a provider of scanning devices, says Oracle deserves to be considered alongside AWS, Microsoft Azure, and Google Cloud as a major enterprise cloud platform, “especially for companies already invested in Oracle technology.”
Cloud Conformity
JUNE 21, 2019
Cloud Conformity Compliance Reports Cloud Conformity’s new reporting feature means that rules within our Knowledge Base are now mapped to the control level detail of the supported compliance standards. To date, this includes the AWS Well-Architected Framework and NIST Cybersecurity Framework, with more being added later this year.
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Linux Academy
MARCH 27, 2019
By completing the real-world scenarios, you are growing your personal knowledge base with skills that can be used directly on the job. Keep in mind that we have a library of over 600 Hands-On Labs across many categories such as Azure, AWS, Google Cloud, Linux, DevOps, Containers, Security, and more.
Cloud Conformity
MARCH 1, 2019
The Five Pillars of AWS Well-Architected Framework?—?Understanding Understanding What Makes the Cloud Secure The 5 pillars to a well-architected house At Cloud Conformity, we often harp on about the AWS Well-Architected Framework and for very good reason. Why should I use the architected framework at all?
Cloud Conformity
APRIL 10, 2019
New Rules: March, 2019 [NEW: AWS Eligible Services by Compliance Standard, S3, MSK, FSx, and more…] During March we added 41 new rules to our Knowledge Base. Check out the full notes below: [link] Cloud Conformity provides continuous assurance that your AWS infrastructure is compliant with AWS Best Practice.
AWS Machine Learning - AI
FEBRUARY 1, 2024
Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs). The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base.
OpenCredo
FEBRUARY 6, 2024
This method involves using data retrieved from a knowledge base to assist the LLM in generating its response. Additionally it should help to reduce the chance of hallucinations, by restricting the information in responses to information found in the knowledge base.
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