You can literally inference LLaMA. And that 192GB in the new Mac Studio is way more than enough to go beyond the 13B param model.
AI
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Apple CPU gains 20% boost for machine learning applications
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So I know everyone loves to stare down the GPUs here but like a 20% CPU bump on the new Apple CPU is pretty impressive given how much you can do on a CPU these days for ML
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Simplifying Data Aggregation Across Diverse Sources with Lakehouse
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Aggregating data from diverse sources comes w/ challenges: siloed data repositories, varying data formats…and many more @LiveRamp (available through the #DatabricksMarketplace) + #Lakehouse simplifies data aggregation & collaboration. Learn more!
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Human Ingenuity Meets Machine Intelligence: AI and Automation Reshaping Work
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Human Ingenuity Meets Machine Intelligence: #AI and #Automation Reshaping Work
— Harold Sinnott #MWC26 (@HaroldSinnott) 5 juin 2023
👉 Read my post on @LinkedIn https://t.co/PZBshQfEzk
👉 Learn about Watson Orchestrate https://t.co/DoqTRlVzhe
👉 Watch my conversation with Parul Mishra, VP Watson Orchestrate at @IBM 👇… pic.twitter.com/jIbHOXHgSYHuman Ingenuity Meets Machine Intelligence: #AI and #Automation Reshaping Work Read my post on @LinkedIn https://
linkedin.com/posts/haroldsi
nnott_think2023-ai-automation-activity-7071460898711724032-hxEu?utm_source=share&utm_medium=member_desktop
… Learn about Watson Orchestrate https://
ibm.co/3ITshVd Watch my conversation with Parul Mishra, VP Watson Orchestrate at @IBM -
LIV: Language-Image Representations and Rewards for Robotic Control
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LIV: Language-Image Representations and Rewards for Robotic Control
— AK (@_akhaliq) 5 juin 2023
paper page: https://t.co/wYfPYkBWP6
Language-Image Value (LIV) is a unified pre-training, fine-tuning, and reward learning algorithm for language-conditioned visual manipulation. LIV can perform zero-shot… pic.twitter.com/IeKJiwVTADLIV: Language-Image Representations and Rewards for Robotic Control paper page: https://
huggingface.co/papers/2306.00
958
… Language-Image Value (LIV) is a unified pre-training, fine-tuning, and reward learning algorithm for language-conditioned visual manipulation. LIV can perform zero-shot -
Meta AI Introduces Hiera: Faster Hierarchical Vision Transformer Model
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New research from Meta AI — Hiera is an extremely simple hierarchical vision transformer that's both more accurate than previous models + significantly faster at inference and during training. Paper https://
bit.ly/45K4TU2 -
Hiera: Advanced Vision Transformer Architecture with 3.6x Speed Improvement
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Hiera represents a significant advance over the vision transformer architecture. This work outperforms SOTA while being up to 3.6x faster across a range of image and video tasks — without use of domain specialized modules. Code https://
bit.ly/45OSyhq -
AI Existential Risk: Understanding the Extinction Threat
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I'd like to have a real conversation about whether AI is a risk for human extinction. Honestly, I don't get how AI poses this risk.
— Andrew Ng (@AndrewYNg) 5 juin 2023
What are your thoughts? And, who do you think has a thoughtful perspective on how AI poses this risk that I should talk to? pic.twitter.com/DG34mRObrEI'd like to have a real conversation about whether AI is a risk for human extinction. Honestly, I don't get how AI poses this risk. What are your thoughts? And, who do you think has a thoughtful perspective on how AI poses this risk that I should talk to?
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Computing Creativity: Can Artificial Intelligence Produce Art?
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Computing Creativity: Can A.I. Produce Art?
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
ow.ly/swp030svtqF -
Neural Operators Enable Super-Resolution Across Space and Time
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Neural operators can do different resolutions in space or time, the framework is general. In our first FNO paper, we showed super-resolution in both space and time https://
arxiv.org/pdf/2010.08895
.pdf
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