Updates and recent posts about GPT..

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@faun shared a link, 1 month, 4 weeks ago

Fixing Developer Experience in Kubernetes: How Klutch Helps Developers Stay Productive

Klutchshreds Kubernetes complexity, handing developers the reins with effortless abstractions. It slyly ridesCrossplane'scoattails too...

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@faun shared a link, 1 month, 4 weeks ago

Kubernetes FinOps 2.0: AI-Powered Cost Optimization with Predictive Scaling

Kubernetes FinOps 2.0 leverages AI to slash cloud costs by40–60%throughpredictive autoscalingandspot instance optimization, ensuring peak performance at a fraction of the price. Transition from reactive cloud-cost management to agile, self-optimizing strategies is key for modern software teams aimin..

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@faun shared a link, 1 month, 4 weeks ago

How Fortune 500 Companies Are Really Using Kubernetes: Insights from KubeCon London

Platform engineeringis practically the law of the land for cloud-native warriors. Crank upscalability, lighten the load on your talent, and hit that mythical99.9% uptimewith a sprinkling ofOpenTelemetry. Meanwhile, yourGPU utilizationhovers at a pitiful5%. Ouch. That's like having a Ferrari stuck in..

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@faun shared a link, 1 month, 4 weeks ago

Akamai App Platform Makes Kubernetes Production-Ready – Now in GA

Kubernetes involves building platforms that often exceed budgets due to complexity. Akamai App Platform provides a pre-configured stack of open source Kubernetes projects for ready-to-use platforms in just 20 minutes. The platform also offers easy self-service for developers, making Kubernetes more ..

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@alanrosarioo gave 🐾 to 🚨 24th International Congress on Industrial Cybersecurity – LATAM 2025 , 2 months ago.

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@alanrosarioo gave 🐾 to 🚨 We're heading to Paris! 🚨 , 2 months ago.

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@anjali shared a link, 2 months ago

Customer Marketing Manager, Last9

Docker Status Unhealthy: What It Means and How to Fix It

What Docker’s “unhealthy” status means, why it happens, and how to debug failing containers with clarity and control.

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@laura_garcia shared a post, 2 months ago

Software Developer, RELIANOID

🚨 We're heading to Paris! 🚨

RELIANOID will be at RAISE Summit 2025 — July 8–9 at the Carrousel du Louvre, where AI visionaries and tech leaders unite to shape the future of artificial intelligence. Why attend? 🔹 Validate your AI strategy with proven frameworks 🔹 Build your AI playbook with insights from pioneers 🔹 Connect with..

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@laura_garcia shared a post, 2 months ago

Software Developer, RELIANOID

𝗕𝗼𝗼𝘀𝘁 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗣𝗿𝗶𝗻𝘁 𝗦𝗲𝗿𝘃𝗲𝗿 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴

Managing print services in large enterprises can be challenging — bottlenecks, downtime, and update disruptions impact productivity. That’s why implementing a high availability and load balancing solution is a game changer. At RELIANOID, we’ve developed a step-by-step guide to scale Microsoft Print ..

kb Microsoft Print Server load Balancing

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@laura_garcia shared a post, 2 months ago

Software Developer, RELIANOID

🚨 24th International Congress on Industrial Cybersecurity – LATAM 2025

📍 Medellín, Colombia 📅 July 8–9, 2025 We’re proud to announce that RELIANOID will be participating in the most important event on Industrial Cybersecurity in Latin America: CCIcon 2025! 🛡️ Under the theme "Building the Future of Industrial Cybersecurity", the congress brings together experts, profes..

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.