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Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it c…

This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight - GitHub - ChaoningZhang/MobileSAM: This is the offiicial code for Faster Segment Anything (Mob...

Precise and controllable image editing is a challenging task that hasattracted significant attention. Recently, DragGAN enables an interactivepoint-based image editing framework and achieves impressive editing resultswith pixel-level precision. However, since this method is based on generativead…

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Nayoung Jin, Hana Lee. Findings of the Association for Computational Linguistics: EMNLP 2022. 2022.

Large language models have exhibited exceptional performance on variousNatural Language Processing (NLP) tasks, leveraging techniques such as thepre-training, and instruction fine-tuning. Despite these advances, theireffectiveness in medical applications is limited, due to challenges such asfact…

The recently proposed segment anything model (SAM) has made a significantinfluence in many computer vision tasks. It is becoming a foundation step formany high-level tasks, like image segmentation, image caption, and imageediting. However, its huge computation costs prevent it from wider applicat…

Generating realistic human motion from given action descriptions hasexperienced significant advancements because of the emerging requirement ofdigital humans. While recent works have achieved impressive results ingenerating motion directly from textual action descriptions, they often supportonly…

We introduce phi-1, a new large language model for code, with significantlysmaller size than competing models: phi-1 is a Transformer-based model with1.3B parameters, trained for 4 days on 8 A100s, using a selection of ``textbookquality” data from the web (6B tokens) and synthetically generated t…

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Model for All. - GitHub - OptimalScale/LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Found...