Updates and recent posts about GPT..

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@devopslinks shared a link, 2 weeks, 2 days ago

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Unlocking self-service LLM deployment with platform engineering

A new platform stack - Port+GitHub Actions+HCP Terraform** - is turning LLM deployment into a clean self-service flow. The result => predictable, governed pipelines that ship faster. Infra gets standardized. Provisioning? Handled through GitHub Actions. Policies? Baked in via HCP Terraform. Port tie.. read more

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@varbear shared an update, 2 weeks, 3 days ago

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New MCP Release v0.10.0 Supercharges AI-Assisted Web Development

#AI codi... #Model C... #perform... #Debuggi... #Chrome ...

Chrome DevTools MCP v0.10.0 unlocks deeper AI-powered debugging with new tools for DOM access, network request detection, page reload automation, performance insights, and snapshot saving.

Google Launches Chrome DevTools MCP Server Preview for AI-Driven Web Debugging

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@varbear added a new tool chrome-devtools-mcp , 2 weeks, 3 days ago.

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@varbear shared an update, 2 weeks, 3 days ago

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AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly

#aws #Python ... #Lambda@... #AWS Lam...

Python 3.14 is now available in AWS Lambda, enabling developers to leverage new Python features for serverless applications.

AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly

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@kaptain shared an update, 2 weeks, 3 days ago

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The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025

#kubecon #PETAFLO... #LattePa... #nvidia #kuberne...

Engineer Justin Garrison showcased a backpack-sized PETAFLOP Kubernetes cluster at KubeCon 2025, demonstrating localized AI capabilities without cloud reliance.

The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025

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@kaptain added a new tool Talos Linux , 2 weeks, 3 days ago.

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@kaptain shared an update, 2 weeks, 3 days ago

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Google Breaks Kubernetes Limits Again: Inside the 130,000-Node GKE Cluster

#GKE #Google ... #Google #AI #kuberne...

Google successfully operates a 130,000-node Kubernetes cluster to enhance GKE's scalability for AI workloads.

Control plane throughput: Sustaining up to 1,000 operations per second for both Pod creation and Pod binding during intense scheduling phases.

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@kaptain added a new tool kueue , 2 weeks, 3 days ago.

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@devopslinks shared an update, 2 weeks, 3 days ago

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Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet

#Feature... #DDoS #Postmor... #cloudfl... #outage

A database permissions change led to a Cloudflare outage by creating an oversized feature file, causing network failures initially mistaken for a DDoS attack.

Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet

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@devopslinks shared an update, 2 weeks, 3 days ago

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Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains

#scalabi... #Valkey #Valkey ... #Redis #open so...

Valkey 9.0 debuts with atomic slot migrations, hash field expiration, and improved cluster mode support, enhancing data management and scalability.

Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains

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.

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