Updates and recent posts about GPT..

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@anjali shared a link, 2 weeks, 1 day ago

Customer Marketing Manager, Last9

How to Connect Jaeger with Your APM

Learn how to connect Jaeger with your APM to combine tracing and performance monitoring for deeper system visibility.

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@anjali shared a link, 2 weeks, 1 day ago

Customer Marketing Manager, Last9

Key APM Metrics You Must Track

Understand key APM metrics like response time, error rates, throughput, and resource usage to keep your applications reliable and fast.

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@saurabhkumar started using tool Kubernetes , 2 weeks, 1 day ago.

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@laura_garcia shared a post, 2 weeks, 2 days ago

Software Developer, RELIANOID

🔄 In case you missed it last month…

🔒 Incident Response in 2025: Lessons Learned From food supply disruptions and airline data breaches to sector-wide attacks on insurers, June–August 2025 highlighted how critical rapid and prepared responses are in cybersecurity. At the same time, advances like AI-powered detection and resilience fea..

Incident Response june, july, august 2025

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@maciejpiesio started using tool Terragrunt , 2 weeks, 3 days ago.

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@maciejpiesio started using tool Terraform , 2 weeks, 3 days ago.

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@maciejpiesio started using tool Kubernetes , 2 weeks, 3 days ago.

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@maciejpiesio started using tool Helm , 2 weeks, 3 days ago.

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@maciejpiesio started using tool Docker , 2 weeks, 3 days ago.

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@laura_garcia shared a post, 2 weeks, 3 days ago

Software Developer, RELIANOID

⚡ Windows Server Load Balancing Explained

Windows Server’s built-in Network Load Balancing (NLB) feature helps organizations distribute traffic, ensure redundancy, and keep mission-critical applications running without downtime. But while NLB is effective, modern workloads demand more. In our latest article, we cover: ✔️ What Windows Server..

Knowledge base Windows Server Load Balancing

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.