Updates and recent posts about GPT..

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@laura_garcia shared a post, 3 months, 1 week ago

Software Developer, RELIANOID

🔐 RELIANOID Load Balancer – Security Contributions

At RELIANOID, we actively and selflessly contribute to improving global cybersecurity, staying true to our open-source spirit. 🤝 We maintain close collaborations with security platforms, forums, and threat-intelligence communities, sharing our expertise to help strengthen protection across the Inter..

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@laura_garcia shared a post, 3 months, 1 week ago

Software Developer, RELIANOID

📍 RELIANOID at Bett UK 2026

We’re excited to take part in Bett UK 2026, the world’s leading EdTech event, bringing together educators, innovators, and decision-makers shaping the future of education. 🗓 January 21–23, 2026 📍 London, United Kingdom Join us to discover how RELIANOID enables secure, scalable, and highly available ..

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@laura_garcia shared a post, 3 months, 1 week ago

Software Developer, RELIANOID

🚀 If you’re building AI systems, reliability is no longer optional

Many teams are rushing to adopt AI, but few are asking the most critical question: 👉 What happens when AI fails? Back in December, we published an article that remains more relevant than ever: AI is redefining Site Reliability Engineering (SRE). Why? Because AI inference workloads introduce new reli..

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@aleonrangel gave 🐾 to Difference between Agile and Scrum , 3 months, 1 week ago.

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@aleonrangel gave 🐾 to Difference between Agile and Scrum , 3 months, 1 week ago.

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@laura_garcia shared a post, 3 months, 1 week ago

Software Developer, RELIANOID

🔐 Reminder: Azure MFA Enforcement Is Now in Place

Some time ago, Microsoft announced and enforced mandatory multifactor authentication (MFA) for all Azure tenants performing resource management actions. 👉 This marked a clear turning point: MFA is no longer optional — it’s a requirement. At RELIANOID, we shared how this change reinforces the need to..

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@varbear shared a link, 3 months, 1 week ago

FAUN.dev()

How to build internal developer tools with a small team

A fresh way to think about internal dev tooling: three axes,width(new features),depth(polish and stability), andpreparation(future-ready architecture). Instead of treating tradeoffs as binary, the model maps them as vectors in a shared space. Less tug-of-war. More informed roadmap moves... read more

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@varbear shared a link, 3 months, 1 week ago

FAUN.dev()

How Browsers Work

An interactive open-source guide breaks down browser internals with slick, step-through models coveringDNS resolution,TCP handshakes, andHTML parsing. It walks through the browser'ssequential pipeline- from URL to DOM - blending protocol deep-dives with hands-on visuals you can poke at... read more

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@varbear shared a link, 3 months, 1 week ago

FAUN.dev()

The Mac Malware of 2025 👾

The 2025 macOS malware scene leveled up hard. Thinkmodular infostealers, built for stealth, slipping in with staged loaders, encrypted configs, and slick social engineering - fake updates, bogus job interviews, even sketchy terminal promos like “ClickFix.” Attackers leaned onAppleScript,JXA, andGo-b.. read more

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@varbear shared a link, 3 months, 1 week ago

FAUN.dev()

Web development is fun again

A seasoned dev takes a hard look at today’s messy full-stack reality: scattered tools, niche deep-dives, and burnout baked into the job. ButAI coding assistantsflipped the script. They help offload overhead, mimic pro-level workflows, and sanity-check the code. Now this dev moves across frontend and.. read more

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.