DPO: Training A Language Model To Satisfy Human Preferences Direct Preference Optimization:Your Language Model is Secretly a Reward ModelRafael Rafailov∗† Archit Sharma∗† Eric Mitchell∗† Stefano Ermon†‡ Christopher D. Manning† Chelsea Finn†13 Dec 2023 Policy Preferred by HumansLarge-scale unsupervised language models are known to solve various tasks based on extensive knowledges. These generative models produce responses based on their policy. RLHF (Rei.. 2024. 7. 4. XLNet = BERT + AR, in Permutation Setting (A quick note) Cheers! Here's to myself who recently got accepted by Carnegie Mellon University; School of Computer Science, Master of Science in Intelligent Information Systems for Fall 2024. XLNet: Generalized Autoregressive Pretraining for Language UnderstandingYang et al.2 Jan 2020 Representation Learning for NLPUnsupervised representation learning is known for handling large-scale unlabeled.. 2024. 5. 5. KMMLU: A Korean Benchmark for LLMs KMMLU: Measuring Massive Multitask Language Understanding in Korean Guijin Son, Hanwool Lee, Sungdong Kim, etc. 18 Feb 2024 MMLU There exist various benchmarks for evaluating and understanding the capabilities of Large Language Models (LLMs), such as commonsense reasoning, code generation, and multi-turn conversations. Massive Multitask Language Understanding (MMLU) is one of these benchmarks, c.. 2024. 3. 29. SPIn-NeRF: 3D Inpainting while enforcing viewpoint consistency SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields Mirzaei et al. 15 Mar 2023 A Novel Approach to Inpaint the NeRF Scene While editing 2D images or 3D videos, one of the important tasks is to remove the undesired part (object) from the original scene. This task should be followed by replacing it with a region that is visually plausible and consistent with the.. 2024. 3. 8. NeRF: Exploring the Frontiers of Modern 3D Scene Reconstruction NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T, Barron, Ravi Ramamoorthi, Ren Ng 3 Aug 2020 NeRF; Neural Randiance Field Neural Randiance Field (NeRF) is a sophisticated and novel method that addresses the long-standing problem of view synthesis. Prior to NeRF, there have been a lot of works such as using de.. 2024. 2. 23. [Machine Learning Basics] nvidia-driver, CUDA Toolkit I recently received a server which GPU were available, and found out how to go through GPU settings. Content 1. Connecting to (SSH) server with VSCode 2. Installing GPU driver (nvidia-driver) 3. Installing CUDA 1. Connecting to SSH server with VSCode (with password, not the SECRET_KEY) VSCode seems to be the predominant code editor. VSCode has numerous extensions for such things like Git, Remote.. 2023. 8. 29. 이전 1 2 3 4 다음
