์ฃผ๋ฏผ๊ฑด
๊ธฐ๋ก = ์ฑ์ฅ

GitHub - NomaDamas/KICE_slayer_AI_Korean: ์๋ฅ ๊ตญ์ด 1๋ฑ๊ธ์ ๋์ ํ๋ AI
์๋ฅ ๊ตญ์ด 1๋ฑ๊ธ์ ๋์ ํ๋ AI. Contribute to NomaDamas/KICE_slayer_AI_Korean development by creating an account on GitHub.
ChatGPT Code Interpreter
ChatGPTCode Interpreter ํ๊ตญ์๋์ง๊ธฐ์ ์ฐ๊ตฌ์ AI ํ์ต์กฐ์ง์์๋ 2023๋
ํ ํด๋์ ๋ฐ์ดํฐ ์ฒ๋ฆฌ๋ฅผ ๊ณต๋ถํฉ๋๋ค. ์ธ ๋ฒ์งธ ์๊ฐ์ผ๋ก ChatGPT Code Interpreter๋ฅผ ์๊ฐํฉ๋๋ค. ์ฑ๋ด์ผ๋ก ์๋ ค์ง ChatGPT์ ์ธ์ด ๋ฅ๋ ฅ๊ณผ ์ฝ๋ฉ ๋ฅ๋ ฅ, ๊ทธ๋ฆฌ๊ณ ์คํ ๋ฅ๋ ฅ์ ์กฐํฉํด ๋ฐ์ดํฐ๋ฅผ ์ฒ๋ฆฌํฉ๋๋ค. ๋จธ์ ๋ฌ๋๋ ์ํํ๊ณ ์ต์ ํ๋ ์์์ ํ

GitHub - microsoft/azurechatgpt: ๐ค Azure ChatGPT: Private & secure ChatGPT for internal enterprise use ๐ผ
๐ค Azure ChatGPT: Private & secure ChatGPT for internal enterprise use ๐ผ - GitHub - microsoft/azurechatgpt: ๐ค Azure ChatGPT: Private & secure ChatGPT for internal enterprise use ๐ผ
GitHub - geekan/MetaGPT: ๐ The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
๐ The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo - GitHub - geekan/MetaGPT: ๐ The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Task...
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Vision systems to see and reason about the compositional nature of visualscenes are fundamental to understanding our world. The complex relationsbetween objects and their locations, ambiguities, and variations in thereal-world environment can be better described in human language, naturallygoverโฆ

Tracking Anything in High Quality
Visual object tracking is a fundamental video task in computer vision.Recently, the notably increasing power of perception algorithms allows theunification of single/multiobject and box/mask-based tracking. Among them, theSegment Anything Model (SAM) attracts much attention. In this report, weprโฆ

Universal and Transferable Adversarial Attacks on Aligned Language Models
Because โout-of-the-boxโ large language models are capable of generating agreat deal of objectionable content, recent work has focused on aligning thesemodels in an attempt to prevent undesirable generation. While there has beensome success at circumventing these measures -- so-called โjailbreaksโฆ

Towards Generalist Biomedical AI
Medicine is inherently multimodal, with rich data modalities spanning text,imaging, genomics, and more. Generalist biomedical artificial intelligence (AI)systems that flexibly encode, integrate, and interpret this data at scale canpotentially enable impactful applications ranging from scientificโฆ

Aligning Large Language Models with Human: A Survey
Large Language Models (LLMs) trained on extensive textual corpora haveemerged as leading solutions for a broad array of Natural Language Processing(NLP) tasks. Despite their notable performance, these models are prone tocertain limitations such as misunderstanding human instructions, generatingpโฆ
