We are teaming up with the Google for Startups Cloud Program to help startups accelerate the creation of #generativeAI applications and services. Learn more about the partnership announced today. https://
nvda.ws/3xpPQCd #NVIDIAInception @GoogleCloud
GENERATIVE AI
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NVIDIA Google Cloud Partner Startup Generative AI Program
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Zero-shot multimodal scaling shows linear growth with exponential data
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It is an interesting paper on how zero-shot multimodal ability scales linearly with exponential data, but it isn’t “AI is going to fail soon.” I wouldn’t be sure it generalizes beyond particular text-to-image techniques. And there are often ways around issues.
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Synthetic Data and Video Sources for AI Model Training
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Probably a ridiculous amount of synthetic data + previously untapped sources like full videos (not just Whisper-transcribed YouTube), music, etc.
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Three AI Trends Shaping the Future: Frontier Models and Autonomous Agents
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Three trends to watch that will shape the future of what AI will mean for us:
1) The unknown capabilities of frontier models
2) Growing evidence of "superhuman" LLM performance in some areas
3) Autonomous agents
Taken together, the implications are large. -
Snorkel AI showcases data-centric AI at Google Cloud NEXT
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Going to Google Cloud NEXT? Come by booth #AI2 in the AI Pavillion to say “hi” to our AI experts! You can hear Snorkel AI's insights at two “How Wayfair is transforming customer experiences with data-centric AI” and “Diversity in Startups: Tactics for Accelerating Success.
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OpenAI Anthropic DeepMind Training 10x Larger Models
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Remember, OpenAI, Anthropic and DeepMind are training 10x bigger models than Opus
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Using Claude Opus with Console Interface Features
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Opus will likely be noticeably better for your use case. Don’t use the http://
Claude.ai UI, use the one at http://
console.anthropic.com. Less polished, but it allows you to edit generations, delete messages, set system prompts, etc. -
Discrete Space Prompting vs Prefix Tuning Model Optimization
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well i'm pretty certain it all happens in *discrete* space, via prompting, and strings; prefix tuning requires training a model, taking gradients, dense parameters, etc.
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AI Training Data Surge, CHIPS Deal, Gemini Fine-tuning Features
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Top stories in AI today: -AI training data gold rush surges
-U.S. strikes CHIPS deal with TSMC
-New Gemini feature lets you fine-tune answers
-Jamie Dimon on AI’s transformational impact
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/ais-training
-data-gold-rush
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DataRobot Deepens Google Cloud Partnership with Gemini Models
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We’re excited to deepen our partnership with @googlecloud with new integrations and accelerators powered by Google’s Gemini models, making it easy for organizations to jumpstart AI solutions and deliver immediate impact. Learn more: https://
datarobot.com/newsroom/press
/datarobot-deepens-google-cloud-partnership-with-ai-solutions-powered-by-googles-gemini-models/
… @gcloudpartners