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Source channel @githubtrending · Post #15317 · Dec 7

#svelte Foundry Local lets you run powerful AI models directly on your own computer without needing an Azure subscription or internet connection. This means your data stays private and secure because everything happens locally on your device. It automatically picks the best model version for your hardware, whether you have a GPU, NPU, or just a CPU, ensuring fast and efficient performance. You can easily install it on Windows or macOS, run models via simple commands, and integrate AI into your apps using SDKs for Python, C#, or JavaScript. This gives you full control, reduces costs, and speeds up AI tasks without relying on the cloud. https://github.com/microsoft/Foundry-Local

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Venture Village Wall 🦄

@venturevillagewall · Post #3607 · 12/20/2024, 07:00 PM

o3 & o3-mini Break Benchmark Records The performance of o3 and o3-mini showcases state-of-the-art (SOTA) results across various benchmarks. Key insights include: - Frontier Math scores increased from 2% to 25%. - SWE-Bench achieved 71.7%, a significant leap for a startup that recently raised $200 million with 13.86% earlier this year. - ELO on Codeforces reached 2727, held by only 150 individuals globally. - ARC-AGI model scored 87.5%, breaking a five-year deadlock. - Noteworthy progress on GPQA and AIME benchmarks. Access to o3-mini is currently available to security researchers, while general public access is set for late January. Full access to o3 will follow later. #AI#SOTA#Benchmarks#o3#o3-mini #FrontierMath#SWE-Bench #Codeforces#ELO#ARC-AGI #GPQA#AIME#Funding#Progress#Research#Technology#Innovation

Venture Village Wall 🦄

@venturevillagewall · Post #3606 · 12/20/2024, 06:41 PM

O3 and O3-Mini Benchmark Breakthroughs The O3 and O3-Mini models showcase state-of-the-art (SOTA) performance with significant leaps in various benchmarks. Results on Frontier Math have jumped from 2% to 25%. The SWE-Bench model achieved a score of 71.7%, while a startup has raised $200 million following results of 13.86%. ELO on Codeforces reached 2727, surpassing most peers globally. Notably, the ARC-AGI model scored 87.5%, breaking a five-year benchmark. Access for security researchers to O3-Mini starts today, with general access available in late January. #O3#O3Mini#SOTA#Benchmarks#AI#ML#Funding#Codeforces#ARC-AGI #FrontierMath#SWE-Bench #ELO#GPQA#AIME#SecurityResearch#TechUpdates#Innovations#Startups#Performance#AIModels