주민건

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated) - GitHub - amazon-science/auto-cot: Official implementa...

Tree of Thoughts: Deliberate Problem Solving with Large Language Models - GitHub - ysymyth/tree-of-thought-llm: Tree of Thoughts: Deliberate Problem Solving with Large Language Models

지금까지 object detection 모델을 설명하기 위해서 Region proposal, Anchor box, NMS 등등 새로운 개념들이 많이 등장했습니다. 이런 개념들은 …

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs. - GitHub - kyegomez/Sophia: Effortless plugin and play Optimizer to cut...

Large language models are trained in two stages: (1) unsupervised pretrainingfrom raw text, to learn general-purpose representations, and (2) large scaleinstruction tuning and reinforcement learning, to better align to end tasks anduser preferences. We measure the relative importance of these two…

21개 프로젝트, 약 92시간 분량의 인터랙티브 웹 강의. 인터랙티브 웹의 기초부터 Canvas.js를 활용한 2D, Three.js와 WebGL, Blender를 활용한 3D 인터랙티브 웹까지 구현해봅니다.

Synthesizing visual content that meets users’ needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects. Existing approaches gain controllability of generative adversarial networks (GANs) via manually annotated training data or a pr…

Interact privately with your documents using the power of GPT, 100% privately, no data leaks - GitHub - imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% pri...