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Go Developer Survey Is Out: What 5,379 Go Developers Actually Want Next

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The 2025 Go Developer Survey reveals developers' desire for better best practices, enhanced standard library usage, and modernized tooling. AI-powered development tools are common, yet satisfaction is moderate due to quality concerns. Most respondents are experienced developers in the tech industry, highlighting challenges like ensuring code quality and finding reliable modules.

Go Developer Survey Is Out: What 5,379 Go Developers Actually Want Next
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Qwen3-TTS Series Released: This Open-Source Model Can Clone Your Voice in 3 Seconds

The Qwen3-TTS series introduces open-source models for speech generation, voice design, and cloning, available in 1.7B and 0.6B sizes. These models support 10 languages and offer features like rapid voice cloning and style control. They excel in multilingual capabilities and efficient speech signal processing.

Qwen3-TTS Series Released: This Open-Source Model Can Clone Your Voice in 3 Seconds
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The Cloud Native Tipping Point: What 689 Companies Just Revealed

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The CNCF Annual Cloud Native Survey reveals 98% of organizations now use cloud native technologies, with Kubernetes playing a crucial role in AI infrastructure. Multi-cloud and hybrid strategies are prevalent, and the main challenge has shifted to cultural changes within development teams.

The Cloud Native Tipping Point: What 689 Companies Just Revealed
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Why High Availability for Skype for Business really matters 🔍

Downtime in enterprise communications is not an option. In our article, we explain why High Availability is critical for Skype for Business and how RELIANOID ensures continuous, secure, and scalable communications with advanced load balancing and failover solutions. 👉 Read it here and keep your comm..

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Portainer: Podman environment option doesn't support Docker environments

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During a recent training session I was leading, I watched a room full of sharp engineers do what engineers do best: follow instructions precisely. We installedPortainertogether, step by step, expecting the usual smooth glide into the world of container management. Instead, we hit a wall. A small one..

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@laura_garcia shared a post, 1 week, 2 days ago
Software Developer, RELIANOID

🔐 Cybertech Global TLV 2026 | Tel Aviv

January 26–28, 2026 One of the world’s leading cybersecurity events is back! Cybertech Global brings together global cyber leaders, innovators, and decision-makers at the heart of Israel’s tech ecosystem. 👉 RELIANOID will be there supporting secure, resilient digital infrastructures. #CybertechTL..

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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.