AI - AI Dynamics

→ View original post on X — @rasbt

Dataset Consent vs Flawed Evaluation: Main Issues Debate

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@rasbt

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25 June 2023 16h25

Hm, it seems the letter largely highlights the issues regarding dataset consent. Of course, this is an issue. But wasn't the main issue of this study the flawed evaluation and, consequently, the wrong claims?

→ View original post on X — @paulroetzer

AI’s Transformative Impact on Education Equity and Productivity

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@paulroetzer

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25 June 2023 16h17

“The broader context of what [AI] could mean is it’ll dramatically improve the efficacy of education, dramatically reduce cost, make education more equitable, give people global opportunity, and increase productivity and knowledge,”

→ View original post on X — @scobleizer

Understanding Large Language Models: AI Foundation Explained

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@scobleizer

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25 June 2023 15h03

I asked GPT to help you: An LLM, or "Large Language Model," refers to a type of artificial intelligence model that's been trained on a vast amount of text data. The purpose of these models is to understand and generate human-like text based on the input they receive. OpenAI's

Wanda: Efficient LLM Pruning Without Retraining

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25 June 2023 15h02

9/ Wanda – introduces a simple and effective pruning approach for LLMs; the approach requires no retraining or weight update and outperforms baselines of magnitude pruning.

AudioPaLM Multimodal LM Enables Zero-Shot Speech Translation

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25 June 2023 15h02

10/ AudioPaLM – fuses text-based & speech-based LMs, PaLM-2 and AudioLM, into a multimodal architecture; outperforms existing systems for speech translation tasks and has zero-shot speech-to-text translation capabilities.

LMFlow: Extensible Toolkit for Foundation Model Fine-tuning

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25 June 2023 15h02

7/ LMFlow – an extensible toolkit that simplifies finetuning and inference of general large foundation models; supports continuous pretraining, instruction tuning, parameter-efficient finetuning, alignment tuning, and large model inference.

MotionGPT: Multimodal Control Signals for Human Motion Generation

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25 June 2023 15h02

8/ MotionGPT – uses multimodal control signals for generating consecutive human motions; it quantizes multimodal control signals intro discrete codes which are converted to LLM instructions that generate motion answers.https://t.co/B2xAYdbuHc
— DAIR.AI (@dair_ai) 25 juin 2023

8/ MotionGPT – uses multimodal control signals for generating consecutive human motions; it quantizes multimodal control signals intro discrete codes which are converted to LLM instructions that generate motion answers.