ContentPosts from @tixo..
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@faun shared a link, 1 month, 2 weeks ago

Build Your Own AI Assistant with Goose and Model Runner Building an Easy Private AI Assistant with Goose and Model Runner

GooseCLI joins forces withDocker Model Runnerto bring OpenAI-compatible language models right to your desktop. Privacy? Check. Flexibility? Double-check. Tame tedious tasks and streamline workflows with a script-happy AI sidekick, all running safely from your own machine. No clouds in sight...

Build Your Own AI Assistant with Goose and Model Runner Building an Easy Private AI Assistant with Goose and Model Runner
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@faun shared a link, 1 month, 2 weeks ago

I Built an AI Agent That Fact-Checks Claims With Google + GPT

Created an AI fact-checker that turnsGoogle,GPT, andBright Data's SERP APIinto a powerhouse of truth. Grounded LLMs with the gritty reality of real-time search data, so it dishes out solid, fact-laden insights. Skipped frameworks likeLangChain—because who needs limits?—to seize full control and fine..

I Built an AI Agent That Fact-Checks Claims With Google + GPT
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@faun shared a link, 1 month, 2 weeks ago

Sync Claude Code conversations with Issues, & your git commits with your Issues, & track the history of your LLM-generated code

AI coding assistants boost developer productivity by offering real-time, context-aware code suggestions and automating routine tasks. Powered by large language models like GPT and Code LLaMA, they understand project context and improve accuracy with static analysis and reinforcement learning. Top to..

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@faun shared a link, 1 month, 2 weeks ago

The Rise of Energy and Water Consumption Using AI Models, and How It Can Be Reduced

AI and data centers gobble up 2-3% of the world's electricity.Expect that number to swell. All those chatty AI models? They gulpup to 500ml of water per conversationjust to keep cool. Techniques like transfer learning and model distillation play hero roles in hacking down AI's thirst for energy. Mod..

The Rise of Energy and Water Consumption Using AI Models, and How It Can Be Reduced
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@faun shared a link, 1 month, 2 weeks ago

LangChain vs. Langfuse

LangChainconducts LLM workflows with finesse. It's like a symphony, swapping components as easily as React swaps elements in the DOM. MeetLangfuse, your backstage pass. It deconstructs complex LLM setups into structured datasets, offering a front-row view to every single model interaction...

LangChain vs. Langfuse
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@faun shared a link, 1 month, 2 weeks ago

New Crypto-Jacking Attacks Target DevOps and AI Infrastructure

Wizpopped the hood on a sneaky crypto-jacking scheme. Meet JINX-0132, an operation that hijacksNomad, Consul, Docker,andGiteamisconfigurations to stay under the radar. Meanwhile,Sysdigraised the alarm on a copycat act aimed atOpen WebUI. It’s a growing trend that flips exposed infrastructure into a ..

New Crypto-Jacking Attacks Target DevOps and AI Infrastructure
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@faun shared a link, 1 month, 2 weeks ago

The Future of AI-Augmented Infrastructure: Letting AI Handle the Terraform Tax

Terraformreviews drag teams through "invisible costs," even with sleek tools. AI jumps in, offering sharper, context-savvy vetting without shaking up current workflows...

The Future of AI-Augmented Infrastructure: Letting AI Handle the Terraform Tax
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@faun shared a link, 1 month, 2 weeks ago

Go is 80/20 language

Gokeeps it simple, delivering 80% of the goods with just 20% of the mess. But some critics sniff around, demanding more for their extra 36% effort.Swiftproves the point that more isn’t always better with its extra baggage...

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@faun shared a link, 1 month, 2 weeks ago

Agentic DevOps: Evolving software development with GitHub Copilot and Microsoft Azure

GitHub Copilot'slatest release? A digital Swiss Army knife. It slices through complex code, automates your drudge work, and resurrects forgotten legacy systems, so you can dive into creative coding. Now it moonlights as your SRE onAzureand invites AI model tinkering straight into your workflow...

Agentic DevOps: Evolving software development with GitHub Copilot and Microsoft Azure
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@faun shared a link, 1 month, 2 weeks ago

Engineering Principles for Building a Successful Cloud-Prem Solution

Cloud-Premmarries cloud's nimble speed with on-prem's tight grip. It fuses avendor-managed control planewith acustomer-owned data plane—a dream match for regulated sectors.Redpanda's BYOCslashed costs tenfold by axing egress fees. Meanwhile,Couchbase's Capellaserves up hybrid deployment like a maste..

Engineering Principles for Building a Successful Cloud-Prem Solution