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@sancharini shared a post, 1ย week, 1ย day ago

Black Box Testing Techniques to Improve Test Coverage

Learn black box testing techniques to improve test coverage. Explore methods like equivalence partitioning, boundary value analysis, and more with practical examples.

black box testing techniques
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@laura_garcia shared a post, 1ย week, 1ย day ago
Software Developer, RELIANOID

๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐——๐—ฎ๐˜†

๐Ÿš€ ๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐——๐—ฎ๐˜† ๐—ถ๐˜€ ๐—ต๐—ฒ๐—ฟ๐—ฒโ€ฆ and itโ€™s not just science fiction anymore. Quantum computing is rapidly moving from theory to realityโ€”and with it comes a ๐—บ๐—ฎ๐˜€๐˜€๐—ถ๐˜ƒ๐—ฒ ๐˜€๐—ต๐—ถ๐—ณ๐˜ ๐—ถ๐—ป ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† that organizations simply canโ€™t ignore. Hereโ€™s the uncomfortable truth: ๐Ÿ‘‰ The same technology that promises breakthrou..

quantum_computing_relianoid
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@hamzmu shared a link, 1ย week, 2ย days ago
Fellow, Rootly

Using Graphify to turn Incident Data into a Knowledge Graph

Karpathy said we should build LLM knowledge bases. 48 hours later made Graphify was made: one command, full semantic knowledge graph.

We applied the idea to incident data turning them into a queryable and interactable semantic graph. This lets us see past fixes, predict failures, cluster services, cut alert noise, and reveal team load in seconds.

If youโ€™re using Rootly, here is a small plugin to explore your incident data.

Check it out: github.com/Rootly-AI-Labs/rootly-graphify-importer

Interactive knowledge graph visualization of incident management data showing clustered services, alerts, and responders with connected nodes and relationships in Graphify
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@laura_garcia shared a post, 1ย week, 2ย days ago
Software Developer, RELIANOID

Strengthen Your MFA with Google Authenticator and RELIANOID

๐Ÿ” Strengthen Your MFA with Google Authenticator and RELIANOID At RELIANOID, we take authentication seriously. We've just published a new technical guide on how to integrate Google Authenticator into the RELIANOID MFA Portal, using Active Directory or LDAP to manage user secrets. โœ… Understand TOTP vs..

2FA with AD_LDAP and Google Authenticator
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@roock started using tool Terraform , 1ย week, 5ย days ago.
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@roock started using tool Python , 1ย week, 5ย days ago.
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@roock started using tool Puppet , 1ย week, 5ย days ago.
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@roock started using tool PostgreSQL , 1ย week, 5ย days ago.
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@roock started using tool NixOs , 1ย week, 5ย days ago.
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@roock started using tool Nginx , 1ย week, 5ย days ago.
OpenAI is an independent artificial intelligence research organization that was founded in 2015 with the goal of promoting the development and safe use of advanced AI technologies. The organization's research focuses on a wide range of AI applications, including natural language processing, computer vision, and robotics. OpenAI's research is driven by a team of world-class researchers and engineers who work to develop cutting-edge AI technologies that are both powerful and safe.

One of the key goals of OpenAI is to promote responsible AI development. To this end, the organization works closely with policymakers, industry leaders, and other stakeholders to ensure that AI is developed in a way that is ethical and beneficial for society. OpenAI also provides resources and training to help people better understand AI and its potential impacts.

OpenAI's research has led to numerous breakthroughs in the field of AI, including the development of advanced language models like GPT-3, which can generate coherent and human-like text. The organization has also developed AI technologies that are used in a variety of applications, from self-driving cars to medical diagnostics.

Overall, OpenAI is at the forefront of AI research and development, and is working to ensure that AI is developed in a way that benefits everyone.