전체 글 썸네일형 리스트형 Luma-ai https://lumalabs.ai/dream-machine/creations Luma Dream MachineDream Machine is an AI model that makes high quality, realistic videos fast from text and images from Luma AIlumalabs.ai 더보기 Parameter-Efficient Transfer Learning for NLP https://arxiv.org/abs/1902.00751 Parameter-Efficient Transfer Learning for NLPFine-tuning large pre-trained models is an effective transfer mechanism in NLP. However, in the presence of many downstream tasks, fine-tuning is parameter inefficient: an entire new model is required for every task. As an alternative, we propose transferarxiv.org초록대규모 사전 학습된 모델을 미세 조정(fine-tuning)하는 것은 자연어 처리(NLP)에서 효.. 더보기 LLM Critics Help Catch LLM BugsNat https://openai.com/index/finding-gpt4s-mistakes-with-gpt-4/ -----------------------------------------------------------------------------------------------------------------------------------------------------------------기술 논문이고 솔직히 별로 추천하지 않음-----------------------------------------------------------------------------------------------------------------------------------------------------------.. 더보기 구글 콜랩 가격 T4 = 17.15 L4 = 4.82 a100 = 11.77 더보기 Robust Speech Recognition via Large-Scale Weak Supervision https://arxiv.org/abs/2212.04356 Robust Speech Recognition via Large-Scale Weak SupervisionWe study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual and multitask supervision, the resulting models generalize well to standardarxiv.org 요약우리는 인터넷에 있는 대량의 오디오 전사를 예측하도록 훈련된 음성 처리.. 더보기 MotionBooth: Motion-Aware Customized Text-to-Video Generation https://arxiv.org/abs/2406.17758 MotionBooth: Motion-Aware Customized Text-to-Video GenerationIn this work, we present MotionBooth, an innovative framework designed for animating customized subjects with precise control over both object and camera movements. By leveraging a few images of a specific object, we efficiently fine-tune a text-to-video marxiv.orghttps://huggingface.co/papers/2406.1775.. 더보기 Claude 3.5 후기 생각보다 바이럴이 큰거지 좋다는 느낌이 없었다. (긴 코드를 작성해서 그런지)GPT나 Claude랑 둘중 1개만 하길 더 사용해보니 Claude가 더 코드를 잘 짜긴함 더보기 What are Diffusion Models? https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ What are Diffusion Models?[Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. [Updated on 2022-08lilianweng.github.io[2021-09-19 업데이트: 여러 주요 논문의 저자인 .. 더보기 이전 1 2 3 4 ··· 23 다음
