AI - AI Dynamics

→ View original post on X — @antgrasso

IoT Skills and Expertise for Legacy System Upgrades

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@antgrasso

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05 June 2023 20h00

Advancing new IoT initiatives and upgrading existing legacy systems call for the skills and expertise of developers, architects, engineers, and a variety of other IoT professionals. Source @101Blockchains Link https://
bit.ly/3qjXzhO via @antgrasso #IoT #IIoT #skills

→ View original post on X — @datarobot

Data Scientists Harness LLM Potential with DataRobot ML

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@datarobot

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05 June 2023 19h58

How can data scientists harness the potential of #LLMs? Learn how to leverage DataRobot to apply #ML and model explanation techniques to gain insights into the decision-making process of #ChatGPT. Read more

Apple Implements Inpainting Technology in Video Conferencing

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05 June 2023 19h54

Did Apple just implement inpainting in its video conferencing tech?

On-Device AI Training: Implications Beyond Inference

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05 June 2023 19h43

Think the big Q here is, if all this stuff stays on device while also personalizing, where it's actually trained/updated before loading into memory. That has much grander implications beyond just inferencing it.

→ View original post on X — @nathanbenaich

LLMs Master Game Playing Through Reasoning and Robot Control

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@nathanbenaich

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05 June 2023 19h43

LLMs outperform RL at game play by studying papers and reasoning through chain-of-thought. So sick. LLMs could be the native language to teach robots. More soon!

→ View original post on X — @waitin4agi_

Apple Doubles Down on AI-Powered Video Editing Tools

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@waitin4agi_

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05 June 2023 19h37

Apple doubling down on video editing!

On-Device AI Model Loading and Memory Management

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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.)