@_akhaliq - AI Dynamics - Page 138 of 140

ReviewerGPT: Using Large Language Models for Scientific Paper Review

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02 June 2023 3h03

ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing Given the rapid ascent of large language models (LLMs), we study the question: (How) can large language models help in reviewing of scientific papers or proposals? We first conduct some pilot

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2 June 2023

StyleDrop: Text-to-Image Generation in Any Style

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02 June 2023 2h56

StyleDrop: Text-to-Image Generation in Any Style

introduce StyleDrop, a method that enables the synthesis of images that faithfully follow a specific style using a text-to-image model. The proposed method is extremely versatile and captures nuances and details of a user-provided… pic.twitter.com/ATlsSA5RWs
— AK (@_akhaliq) 2 juin 2023

StyleDrop: Text-to-Image Generation in Any Style introduce StyleDrop, a method that enables the synthesis of images that faithfully follow a specific style using a text-to-image model. The proposed method is extremely versatile and captures nuances and details of a user-provided

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2 June 2023

AI Will Take Over the World – Reddit Programmer Humor Thread

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@_akhaliq

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01 June 2023 17h37

reddit thread: https://
reddit.com/r/ProgrammerHu
mor/comments/13x7cbj/ai_will_take_over_the_world/
…

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1 June 2023

FuseCap: Enriching Image Captions with Large Language Models

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@_akhaliq

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01 June 2023 17h25

FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions propose FuseCap – a novel method for enriching captions with additional visual information, obtained from vision experts, such as object detectors, attribute recognizers, and Optical

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1 June 2023

Humans in 4D: Reconstructing and Tracking Humans with Transformers

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@_akhaliq

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01 June 2023 6h42

Humans in 4D: Reconstructing and Tracking Humans with Transformers

present an approach to reconstruct humans and track them over time. At the core of our approach, we propose a fully "transformerized" version of a network for human mesh recovery. This network, HMR 2.0, advances… pic.twitter.com/46FkK7WHgF
— AK (@_akhaliq) 1 juin 2023

Humans in 4D: Reconstructing and Tracking Humans with Transformers present an approach to reconstruct humans and track them over time. At the core of our approach, we propose a fully "transformerized" version of a network for human mesh recovery. This network, HMR 2.0, advances

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1 June 2023

BBF: Value-Based RL Agent Achieves Super-Human Atari Performance

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@_akhaliq

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01 June 2023 6h02

Bigger, Better, Faster: Human-level Atari with human-level efficiency introduce a value-based RL agent, which we call BBF, that achieves super-human performance in the Atari 100K benchmark. BBF relies on scaling the neural networks used for value estimation, as well as a number

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1 June 2023

Improving CLIP Training with Language Rewrites via LaCLIP

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@_akhaliq

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01 June 2023 5h18

Improving CLIP Training with Language Rewrites introduce Language augmented CLIP (LaCLIP), a simple yet highly effective approach to enhance CLIP training through language rewrites. Leveraging the in-context learning capability of large language models, we rewrite the text

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1 June 2023

OpenAI Releases Process Supervision Method for Mathematical Reasoning

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@_akhaliq

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31 May 2023 20h52

Open AI releases paper + dataset Let’s Verify Step by Step trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome

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31 May 2023