https://colab.research.google.com/github/oobabooga/text-generation-webui/blob/main/Colab-TextGen-GPU.ipynb Community https://www.reddit.com/r/Oobabooga/ Acknowledgment In August 2023,Andreessen Horowitz(a16z) provided a generous grant to encourage and support my independent work on this project....
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech) - NVIDIA/NeMo
such as synthetic text generation, code generation, Retrieval Augmented Generation (RAG), or agents....
https://research.google/blog/scaling-vision-transformers-to-22-billion-parameters/双注意力层: 在 MMDiT 结构中，文本和图像两个模态都在使用同一个注意力层; 而 SD3.5-large 则使用了两个注意力层。除此之外，文本编码器 (text encoder)、图像的变分自编码器 (VAE) 以及噪声调度器 (noise scheduler) ...
Google Scholar Bradley, M. M. & Lang, P. J. Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings https://www.uvm.edu/pdodds/teaching/courses/2009-08UVM-300/docs/others/everything/bradley1999a.pdf (University of Florida, 1999). Fairfield, B., Ambrosini, ...
Impacts of European drought events: Insights from an international database of text-based reports. Nat. Hazard. 16, 801–819 (2016). Article Google Scholar Cook, B. I. et al. Twenty-first century drought projections in the cmip6 forcing scenarios. Earth’s Future 8, e2019EF001461 (2020...
Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git, while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Downloadv3.6.1 (Windows) ...
Ghost in the minecraft: generally capable agents for open-world environments via large language models with text-based knowledge and memory. 2023, arXiv preprint arXiv: 2305.17144 Sclar M, Kumar S, West P, Suhr A, Choi Y, Tsvetkov Y. Minding language models’ (lack of) theory of mind: ...
A large language model (LLM) is a deep learning algorithm that’s equipped to summarize, translate, predict, and generate text to convey ideas and concepts. Large language models rely on substantively large datasets to perform those functions. These datasets can include 100 million or more paramet...
Colossal-AI can achieve up to 2.76 times training speedup on large-scale models.}, booktitle = {Proceedings of the 52nd International Conference on Parallel Processing}, pages = {766–775}, numpages = {10}, keywords = {datasets, gaze detection, text tagging, neural networks}, location = {...