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@faun shared a link, 1 month, 1 week ago

Deploy LiteLLM On Microsoft Azure With AZD, Azure Container Apps And PostgreSQL

GetLiteLLMrolling on Azure in no time using thebuild5nines/azd-litellmtemplate. This wizardry streamlines all your LLMs via a single API. Say farewell to chaos, hello to efficiency. Enjoy savings—and fewer headaches...

Deploy LiteLLM On Microsoft Azure With AZD, Azure Container Apps And PostgreSQL
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@faun shared a link, 1 month, 1 week ago

Llama 4 Live Today on — Build Fast at the Lowest Cost, Without Compromise - is Fast AI Inference

MeetLlama 4 Scoutand its whopping 17 billion active parameters, making Llama 3 look like a snail in comparison. It churns through over460 tokens/s.Maverickups the ante with 128 experts, setting the stage for AI brilliance...

Llama 4 Live Today on — Build Fast at the Lowest Cost, Without Compromise - is Fast AI Inference
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@faun shared a link, 1 month, 1 week ago

The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation

MeetLlama 4 Scoutand its wild cousinMaverick. Each struts around with17 billionparameters. Scout's got 16 experts; Maverick goes big with 128. Together, they outshine GPT-4o in the multimodal spotlight while comfortably riding a loneNVIDIA H100 GPU. Then there’s the heavyweight,Llama 4 Behemoth. Wit..

The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
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@faun shared a link, 1 month, 1 week ago

The case for using your brain — even if AI can think for you

Dives into the wild ride ofemerging techshaking up culture and rewiring brains. Lifts the curtain on the money machines funding science and the geniuses sparking breakthroughs...

The case for using your brain — even if AI can think for you
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@faun shared a link, 1 month, 1 week ago

DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI

MeetDeepSeek-V3-0324, the renegade of language models. Packing a whopping 641GB into its digital knapsack, it's rocking anMIT licenselike a badge of rebellion. It buddies up with a Mac Studio'sM3 Ultraprocessor, scoffing at the need for a stuffy datacenter. The kicker? It flips the switch on just 37..

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@faun shared a link, 1 month, 1 week ago

Midjourney releases V7, its first new AI image model in nearly a year

Midjourney's V7finally rolls up after a year's hiatus, waving its banners of smarter text prompts and crisper image quality. But, don't hold your breath for upscaling—it's MIA for now. Draft Mode blasts out images at lightning speed—10 times faster, at half the price. It's like a tech-savvy sprinter..

Midjourney releases V7, its first new AI image model in nearly a year
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@faun shared a link, 1 month, 1 week ago

MCP is the new interface for security tools

Model Control Protocol (MCP)flips the script on security operations. Picture this: LLMs that juggle tools like circus pros, slashing through technical babble while burying clunky UIs. This week, chatter ascended as three fresh MCP servers popped up, promising to disrupt the security scene with nimbl..

MCP is the new interface for security tools
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@faun shared a link, 1 month, 1 week ago

Exploring Generative AI

GenAI tools like Copilot help most with small, repetitive tasks—but only if devs guide and review them carefully. Bigger changes? More risk, more cleanup. Use tests, short prompts, and stay skeptical...

Exploring Generative AI
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@faun shared a link, 1 month, 1 week ago

Build and deploy Remote Model Context Protocol (MCP) servers to Cloudflare

Cloudflare just made it dead simple to build remote MCP servers—accessible over the web, with built-in OAuth, persistent sessions, and tool access control. Unlike local-only setups, remote MCPs let users connect via web apps or agents without installing anything. This is a big leap: from dev-only to..

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@faun shared a link, 1 month, 1 week ago

How Apple Intelligence Runs AI Locally On-Device: Architecture, Comparisons, and Privacy Explained

Apple Intelligence runs a tightly-optimized 3B parameter model directly on Apple Silicon, with extreme quantization and hardware tuning for low-latency, private on-device AI. For heavier tasks, it offloads to Apple’s own encrypted Private Cloud Compute—never logging or training on your data. Compare..

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