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@laura_garcia shared a post, 7 months, 1 week ago
Software Developer, RELIANOID

Security and compliance are not optional—they’re the backbone of trust.

At RELIANOID, our operations and load balancing platform are fully aligned with the ISO/IEC 27001:2022 framework, ensuring that every policy, control, and process we implement supports the same rigorous standards as certified environments. From governance and risk management to encryption, access co..

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@devopslinks shared an update, 7 months, 1 week ago
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Microsoft Launches Azure Kubernetes Service Automatic for Developers

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Microsoft announces Azure Kubernetes Service Automatic, a fully-managed Kubernetes offering that reduces operational overhead and integrates security and reliability features by default.

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@devopslinks shared an update, 7 months, 1 week ago
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GitHub Introduces Post-Quantum Secure SSH Key Exchange Algorithm

GitHub enabled a post-quantum secure SSH key exchange algorithm on September 17, 2025, to protect against future quantum decryption threats.

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@kala shared an update, 7 months, 1 week ago
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Microsoft Launches Open-Source Agent Framework for AI Development

Microsoft unveils the open-source Agent Framework to streamline AI agent development, integrating Semantic Kernel and AutoGen for enhanced accessibility and stability.

Microsoft Agent Framework
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@kaptain shared an update, 7 months, 1 week ago
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Alpine Linux 3.23 Adopts /usr-Merged File System Layout

Alpine Linux 3.23 will transition to a /usr-merged file system layout, centralizing executables and libraries to reduce maintenance and improve containerization.

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@kala shared an update, 7 months, 1 week ago
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OpenAI Launches AgentKit: Streamline Agent Development for Enterprises

OpenAI introduces AgentKit, a tool suite to streamline agent development for enterprises, enhancing efficiency and collaboration.

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@kala shared an update, 7 months, 1 week ago
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Anthropic unveils three infrastructure bugs behind Claude's performance issues

Anthropic resolves infrastructure bugs affecting Claude AI performance, revises processes to prevent future disruptions across AWS, NVIDIA, and Google platforms.

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@kala shared an update, 7 months, 1 week ago
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ChatGPT Launches Interactive Apps with New Apps SDK Preview

ChatGPT

ChatGPT introduces an app ecosystem with an Apps SDK Preview, enabling developers to create interactive applications integrated into conversations, initially available to non-EU users with partners like Booking.com and Spotify.

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@kala shared an update, 7 months, 1 week ago
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Google DeepMind Launches Gemini 2.5 Model for Enhanced API Performance

Google DeepMind releases Gemini 2.5 model, enhancing API performance for browser and mobile tasks with lower latency and improved UI interaction.

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@kala shared an update, 7 months, 1 week ago
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Anthropic Launches Petri: Open-Source Tool for AI Safety Audits

Anthropic introduces Petri, an open-source tool for automating AI safety audits, revealing risky behaviors in leading language models.

GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

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.