Googleโs Cloud APIs Become Agent-Ready with Official MCP Support
Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.
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AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.
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The UK raises the bar on digital security
With cyberattacks on the rise, the Product Security and Telecommunications Infrastructure (PSTI) Act marks a major step toward making connected technology secure by design. In our latest article, we explain: What the PSTI Act requires Why it matters beyond consumer IoT How it signals a global sh..
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New CNCF Sandbox projects in 2025: From Podman to CloudNativePG
Each year, 25-30 new Open Source projects related to the Cloud Native ecosystem are accepted to the CNCF Sandbox. In January 2025, there were 13 additions, with four of them donated by Red Hat. Here's the list of these newly added CNCF projects: - Podman Container Tools (security-focused Docker alte..
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Announcing FAUN.sensei() โ Self-paced guides to grow fast โ even when tech moves faster.
After months of hard work, FAUN.sensei() is finally alive!
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Are you passionate about technology, networking, and innovation? At RELIANOID, weโre building cutting-edge solutions that power secure, scalable, and reliable infrastructures โ and weโre looking for talented people to join us on this journey! ๐ Whether youโre an experienced professional or just star..
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GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.
One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.
GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.
