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@faun shared a link, 2 months ago

Deploying Llama4 and DeepSeek on AI Hypercomputer

Meta's Llama4models, Scout and Maverick, strut around with17B active parametersunder a Mixture of Experts architecture. But deploying onGoogle Cloud's Trillium TPUsor A3 GPUs? That's become a breeze with new, fine-tuned recipes. Utilizing tools likeJetStreamandPathways? It means zipping through infe..

Deploying Llama4 and DeepSeek on AI Hypercomputer
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@faun shared a link, 2 months ago

Reinforcement Learning Teachers of Test Time Scaling

Reinforcement-Learned Teachers (RLTs)ripped through LLM training bloat by swapping "solve everything from ground zero" with "lay it out in clear terms." Shockingly, a lean 7B model took down hefty beasts likeDeepSeek R1. These RLTs flipped the script, letting smaller models school the big kahunas wi..

Reinforcement Learning Teachers of Test Time Scaling
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@faun shared a link, 2 months ago

How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks

The Gemini Agent Network Protocol introduces powerful AI collaboration with four distinct roles. Leveraging Google’s Gemini models, agents communicate dynamically for improved problem-solving...

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@faun shared a link, 2 months ago

AI at Amazon: a case study of brittleness

Amazon Alexa floundered amid brittle systems: a decentralized mess where teams rowed in opposing directions, clashing product and science cultures in tow...

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@faun shared a link, 2 months ago

Training a Rust 1.5B Coder LM with Reinforcement Learning (GRPO)

DeepSeek-R1flips the script on training LLMs. Armed withGRPO, it challenges the industry heavies like OpenAI's o1 by playing smart with custom data and cleverly designed rewards. Imagine this: a humble 1.5B model, running on merely asingle H100, clocks in at an 80% build pass rate. It’s nibbling at ..

Training a Rust 1.5B Coder LM with Reinforcement Learning (GRPO)
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@faun shared a link, 2 months ago

Run the Full DeepSeek-R1-0528 Model Locally

DeepSeek-R1-0528's nanized form chops space needs down to162GB. But here's the kicker—without a solid GPU, it's like waiting for paint to dry...

Run the Full DeepSeek-R1-0528 Model Locally
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@faun shared a link, 2 months ago

Announcing up to 45% price reduction for Amazon EC2 NVIDIA GPU-accelerated instances

AWS chops up to45%from Amazon EC2 NVIDIA GPU prices. Now your AI training costs less even as GPUs play hard to get...

Announcing up to 45% price reduction for Amazon EC2 NVIDIA GPU-accelerated instances
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@faun shared a link, 2 months ago

Scaling Test Time Compute to Multi-Agent Civilizations

Turns out, Reasoning AIs use a single test compute unit to pack the punch of something 1,000 to 10,000 times its size—an acrobatics act impossible before the might of GPT-4.Noam Brown spilled the beans on Ilya's hush-hush 2021 GPT-Zero experiment, which flipped his views on how soon we'd see reasoni..

Scaling Test Time Compute to Multi-Agent Civilizations
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@faun shared a link, 2 months ago

AWS' custom chip strategy is showing results, and cutting into Nvidia's AI dominance

Graviton4just cranked up the juice to600 Gbps. In the grand race of public cloud champions, it's gunning straight for Nvidia's AI kingdom, powered by the formidableProject Rainier...

AWS' custom chip strategy is showing results, and cutting into Nvidia's AI dominance
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@faun shared a link, 2 months ago

Mistral named most privacy-friendly AI, Google ranks low: report

Mistral AI’s “Le Chat” leads in privacy-focused AI, beating out OpenAI’s ChatGPT and xAI’s Grok.Consumer privacy concerns are reshaping the AI landscape, with 68% worried about online privacy.Regional regulations impact privacy practices, with Mistral AI benefiting from Europe’s strict GDPR rules...

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