AI - AI Dynamics

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Focusing on the Future of Artificial Intelligence and Machine Learning

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@terence_mills

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15 June 2023 18h30

Focusing on the future of artificial intelligence
#AI #AIio #BigData #ML #NLU #Futureofwork @nigelwalsh @pbouillaud @PatrickGunz_CH @pierrepinna @RebekahRadice @Ronald_vanLoon @sbmeunier
@Shirastweet http://
ow.ly/bhEu30svHUj

→ View original post on X — @_akhaliq

Progressively Optimized Local Radiance Fields for Robust View Synthesis

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@_akhaliq

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15 June 2023 18h29

Progressively Optimized Local Radiance Fields for Robust View Synthesis

paper page: https://t.co/9NUDJbvUtR

present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most… pic.twitter.com/Vt1dGq5hSW
— AK (@_akhaliq) 15 juin 2023

Progressively Optimized Local Radiance Fields for Robust View Synthesis paper page: https://
huggingface.co/papers/2303.13
791
… present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most

QLoRA, Prefix Tuning, and LoRA: Fine-tuning Techniques Comparison

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15 June 2023 18h04

This was already a lot of coding. I am saving QLoRA for another day! @Yampeleg Regarding prefix tuning/LLaMA-Adapter vs LoRA. The performance is similar, but one advantage of the former is that it allows multimodal inputs (but that's also a post for another day :P)

Language Inclusion in Pretraining and Dataset Swapping

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15 June 2023 18h00

If the language has been included during pretraining, I that shouldn't be a problem (via swapping the dataset). Otherwise, I am not sure:

→ View original post on X — @cerebras

Proprietary Data and LLM Training Strategy for Enterprises

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@cerebras

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15 June 2023 17h59

A few topics: * Why proprietary data enables enterprises to build higher quality large language models * Should your organization fine-tune pre-trained models or train from scratch * What are the steps that need to be considered before training your first model

→ View original post on X — @cerebras

Cerebras Tech Talk: Integrating Large Language Models in Enterprise

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@cerebras

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15 June 2023 17h58

Join us for a Cerebras Tech Talk! On Thursday, June 22nd at 11:00 AM PT, we will discuss how enterprises can incorporate large language models into their organizations. Register: https://
hubs.li/Q01THKZD0 See below for topics that will be covered in this 30-minute session

→ View original post on X — @poe_platform

Poe Adds Stop Button Feature for Web and iOS Apps

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@poe_platform

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15 June 2023 17h56

Poe now has a stop button for both web and iOS, so you can cut any bot off if you want to change your request without waiting for it to finish. iOS users may need to update to the latest release in the App Store to see the feature. Android support is coming soon.

Fine-tuning Limitations and Cross-lingual Transfer in Language Models

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15 June 2023 17h52

Interesting point! Next to instruction-finetuning, finetuning is usually for a specific task (e.g., language translation). Not sure how well the model would do if you change source language. I.e., I haven't seen any studies investigating that, yet.

LoRA-trained models show competitive performance with less overfitting

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15 June 2023 17h50

The performance of LoRA-trained models is usually pretty competitive. Sometimes even better than fully finetuned (prob due to less overfitting).
(Table from https://
arxiv.org/abs/2106.09685)