Arun C Murthy(@acmurthy) 's Twitter Profileg
Arun C Murthy

@acmurthy

CPTO, @scale_ai.
Past life: CPO, @cloudera. Co-Founder/CPO, @Hortonworks.
Big into data since day one, since 2006.
Engineer sheepdog.
Old sports soul.

ID:39383125

calendar_today12-05-2009 00:13:36

13,1K Tweets

18,5K Followers

214 Following

Andrej Karpathy(@karpathy) 's Twitter Profile Photo

Okay I did a first quick pass of naive CUDA kernels for the forward pass of GPT-2 and pushed everything to one file in llm.c, Still only ~1000 lines of code:
github.com/karpathy/llm.c…

Current per iteration timings on my Lambda box <3 A100 40GB PCIe, B=4, T=1024:
- llm.c: 111ms
-

Okay I did a first quick pass of naive CUDA kernels for the forward pass of GPT-2 and pushed everything to one file in llm.c, Still only ~1000 lines of code: github.com/karpathy/llm.c… Current per iteration timings on my Lambda box <3 A100 40GB PCIe, B=4, T=1024: - llm.c: 111ms -
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Scale AI(@scale_AI) 's Twitter Profile Photo

Join Scale in San Francisco on April 20 for the highly anticipated all-women Generative AI Hackathon with Title Developer sponsor GitHub! 🌉👩‍💻

👉 events.scale.com/womxn-gen-ai-h…

Join Scale in San Francisco on April 20 for the highly anticipated all-women Generative AI Hackathon with Title Developer sponsor @github! 🌉👩‍💻 👉 events.scale.com/womxn-gen-ai-h…
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Summer Yue(@summeryue0) 's Twitter Profile Photo

Do LLMs hold knowledge that might be dangerous in the hands of a malicious user? Can hazardous knowledge be unlearned?

Introducing WMDP: an open-source eval benchmark of 4,157 multiple-choice questions that serve as a proxy measurement of LLM’s risky knowledge in biosecurity,

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Alexandr Wang(@alexandr_wang) 's Twitter Profile Photo

Can hazardous knowledge be unlearned from LLMs w/o harming other capabilities?

Scale AI and CAIS are releasing Weapons of Mass Destruction Proxy (WMDP), an eval for catastrophic AI risk & a way to unlearn this knowledge.

📝arxiv.org/abs/2403.03218
🔗wmdp.ai

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Scale AI(@scale_AI) 's Twitter Profile Photo

Scale GenAI Platform is now available on the Microsoft Azure Marketplace!

Azure customers can purchase Scale GP through the Azure Marketplace, leveraging their existing Microsoft Azure Consumption Commitment (MACC).

👉 scl.ai/sgp-on-azure
👉 scale.com/genai-platform

Scale GenAI Platform is now available on the @Azure Marketplace! Azure customers can purchase Scale GP through the Azure Marketplace, leveraging their existing @Microsoft Azure Consumption Commitment (MACC). 👉 scl.ai/sgp-on-azure 👉 scale.com/genai-platform
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cohere(@cohere) 's Twitter Profile Photo

We are excited that Scale AI has now added Cohere’s Command model and Rerank technology to their GenAI platform to customize business applications with fine-tuning and use RAG for accurate responses. This move will help unlock the powerful potential of AI for enterprise

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Alexandr Wang(@alexandr_wang) 's Twitter Profile Photo

We’re launching a big update to Scale GenAI Platform, the AI platform for enterprises.

It enables you to use any model for any use case using YOUR data. It comes with:
🤖 model fine-tuning + customization
⚖️ test & eval
📑 RAG
🔌 data connectors
& more!

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Scale AI(@scale_AI) 's Twitter Profile Photo

📣Today, we're launching a major update to the Scale GenAI Platform, the full-stack platform to transform your data into customized enterprise-ready Generative AI applications. Any use case, any model, anywhere 🧵

scale.com/blog/genai-pla…

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Scale AI(@scale_AI) 's Twitter Profile Photo

Scale GP lets technical enterprise leaders focus on scaling up more use cases, not building infrastructure by providing:

👉 Custom Model Builder for LLM fine-tuning
👉 Test and Evaluation
👉 Advanced Retrieval Augmented Generation Tools
👉 Enterprise-grade security & performance

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Scale AI(@scale_AI) 's Twitter Profile Photo

🚀Scale is pleased to collaborate with National Institute of Standards and Technology & U.S. Commerce Dept. on the AI Safety Institute Consortium to establish a new measurement science to enable the identification of proven, scalable, and interoperable measurements and methodologies to promote development of trustworthy,

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Scale AI(@scale_AI) 's Twitter Profile Photo

How do you measure the quality of AI data? How do you reconcile individual bias from multiple raters? Enter: Inter-Rater Reliability (IRR) 🧵

scl.ai/irr-blog

How do you measure the quality of AI data? How do you reconcile individual bias from multiple raters? Enter: Inter-Rater Reliability (IRR) 🧵 scl.ai/irr-blog
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Arun C Murthy(@acmurthy) 's Twitter Profile Photo

The world we live in: LTE w/ data roaming is significantly faster *and* more reliable than WiFi while traveling… when did this flip?

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Scale AI(@scale_AI) 's Twitter Profile Photo

Scale’s paper “Detecting and Preventing Hallucinations in Large Vision Language Models” has been accepted for publication in AAAI 2024! 🧵

arxiv.org/abs/2308.06394

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Sara Hooker(@sarahookr) 's Twitter Profile Photo

The Scale AI team put a spotlight⚡️on our work 'Pushing Mixture of Experts to the Limit' arxiv.org/abs/2309.05444 and showcase the impact on LLaMA-2.

Really nice blog post + working implementation. 🔥

scale.com/blog/fine-tuni…

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