AI - AI Dynamics

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05 June 2023 19h32

Also if this is all happening on-device there's a model loaded in memory here.

Apple’s Transformer Model for Autocorrect on Neural Engine

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05 June 2023 19h30

Autocorrect/Dictation now leverages a transformer-based model using Apple Silicon/Neural Engine… with no info on how it's inferenced. Is this an Apple-based LLM from scratch or something fine-tuned? Or something diff altogether? (Knowing the company it's probably the former.)

Consumer Updates Announced at Developer Conference 2026

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05 June 2023 19h18

Man there a lot of consumer updates for a developer conference here

LLaMA Inference on Mac Studio with 192GB Memory

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05 June 2023 19h12

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.

Apple CPU gains 20% boost for machine learning applications

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05 June 2023 19h12

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

→ View original post on X — @databricks

Simplifying Data Aggregation Across Diverse Sources with Lakehouse

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@databricks

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05 June 2023 19h06

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!

→ View original post on X — @haroldsinnott

Human Ingenuity Meets Machine Intelligence: AI and Automation Reshaping Work

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@haroldsinnott

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05 June 2023 19h00

Human Ingenuity Meets Machine Intelligence: #AI and #Automation Reshaping Work

👉 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/jIbHOXHgSY
— Harold Sinnott #MWC26 (@HaroldSinnott) 5 juin 2023

Human 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

→ View original post on X — @_akhaliq

LIV: Language-Image Representations and Rewards for Robotic Control

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@_akhaliq

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05 June 2023 18h58

LIV: Language-Image Representations and Rewards for Robotic Control

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/IeKJiwVTAD
— AK (@_akhaliq) 5 juin 2023

LIV: 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

→ View original post on X — @aiatmeta

Meta AI Introduces Hiera: Faster Hierarchical Vision Transformer Model

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@aiatmeta

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05 June 2023 18h37

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

→ View original post on X — @aiatmeta

Hiera: Advanced Vision Transformer Architecture with 3.6x Speed Improvement

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@aiatmeta

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05 June 2023 18h37

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