TLDR AI

TLDR AI 2023-05-31

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01GENERAL

02HEADLINES & LAUNCHES

CHATGPT-LIKE AI MODEL

South Korean internet giant Naver plans to provide foreign governments with tailored versions of its latest ChatGPT-like AI model, focusing on localization to address political and cultural needs. The company is also set to launch HyperClova X, an upgrade to enhance its domestic services.

archive.ph5 min read

STATEMENT ON AI RISK

A statement from leading AI researchers imploring society to treat the risk of extinction from AI similarly to pandemic and nuclear war.

safe.ai1 min read

washingtonpost.com9 min read

03RESEARCH & INNOVATION

GENERATE IMAGES WITH A LANGUAGE MODEL

Multimodal training of more than one data type has been gaining popularity recently. Usually, the model architecture requires complicated and somewhat brittle solutions. Gill is a cool new project that interleaves text tokens with image tokens to allow for truly multimodal input and output. The reported results are compelling although there are still limitations.

jykoh.com7 min read

CONTROLVIDEO: EXTENDING CONTROLNET TO VIDEOS

ControlVideo is a new way to edit videos based on written instructions, making the video more faithful and consistent with the text while maintaining the original video's structure. It achieves this by combining advanced techniques. ControlVideo improves upon previous methods in terms of accuracy and realism. It offers a lot of flexibility in how much of the original video information to use.

arxiv.org18 min read

04ENGINEERING & RESOURCES

LARGE LANGUAGE MODELS ARE NOT FAIR EVALUATORS

It is challenging to compare the performance of multiple models to one another. Traditional automated measures aren't robust and human evaluation isn't scalable. Recently people have been turning to GPT4 as a proxy for human preference. After all, it was trained with RLHF. However, doing this naively results in miscalibration. This work proposes a few simple fixes that aligns GPT4 evaluations more closely with those of humans.

github.comGitHub repository

GORILLA: ENHANCING THE POWER OF LLMS IN GENERATING API CALLS

Gorilla, a refined model based on Large Language Models (LLMs), significantly outperforms existing models like GPT-4 in writing API calls. It helps language models use tools more effectively. Combined with a document retriever, Gorilla adjusts well to updated documents, minimizes inaccurate creations, and maintains the reliability of outputs, as demonstrated using a new comprehensive dataset called APIBench.

shishirpatil.github.io3 min read

ENHANCING TEXT-TO-3D GENERATION WITH PROLIFICDREAMER

ProlificDreamer is a new method for improving text-to-3D generation. It solves problems like over-saturation and low-diversity found in the earlier Score Distillation Sampling (SDS) approach by treating the 3D parameter as a random variable. This Variational Score Distillation (VSD) framework can produce higher quality and more diverse results, allowing the creation of highly detailed and photo-realistic 3D images from text, including complex effects such as smoke and drops.

github.comGitHub repository

05MISCELLANEOUS