🔥 Large Language Models(LLM) have taken theNLP communityAI communitythe Whole Worldby storm. Here is a curated list of papers about large language models, especially relating to ChatGPT. It also contains frameworks for LLM training, tools to deploy LLM, courses and tutorials about LLM and ...
🔥 Large Language Models(LLM) have taken theNLP communityAI communitythe Whole Worldby storm. Here is a curated list of papers about large language models, especially relating to ChatGPT. It also contains frameworks for LLM training, tools to deploy LLM, courses and tutorials about LLM and ...
Course Title Contains Initiative/Provider University/Entity Categories Subjects/Skills Course Length Start Date Generative Pre-trained Transformers (GPT) (Coursera) View more details Natural Language Processing with Probabilistic Models (Coursera) View more details...
Videos to watch about large language models, NLP, AI, AGI, etc Andrej Karpathy does a GREAT presentation on how GPTs work, link here for the video on Microsoft.com AI for the next ERA: Overview of advancements and opportunities with Sam Altman(OpenAI) Simple explanation...
6. RE-Adapt: Reverse Engineered Adaptation of Large Language Models 我们介绍了一种名为RE-Adapt的方法,可以在不降低任何预先存在的指令调整的情况下,对新领域进行大语言模型的微调。我们反向工程了一个适配器,它可以隔离指令调整模型在其对应的预训练基模型之外所学习的内容。重要的是,这不需要任何额外的数据或...
Harness Azure's AI Power: Master Large Language Models, (LLMs) Optimize Deployments, and Build Cutting-Edge Applications. Enroll in course MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission. Master Large Language Model Operations on ...
随着大语言模型(Large Language Models)在多个领域取得突破性进展,其在电子设计自动化(EDA)中的应用也受到广泛关注。在数字电路设计方面,基于LLM的自动化设计技术已经展示出巨大应用潜力,推动了从设计优化到生产自动化的全面升级。然而,与高度规则化的数字电路相比,模拟电路设计的过程更复杂,对非线性特性和精确度有更高...
Codex: Evaluating Large Language Models Trained on Code:Finetuning on code is all you need Layer Normalization:Consistent mean and variance at each layer is all you need On Layer Normalization in the Transformer Architecture:Pre-layer norm, instead of post-layer norm, is all you need ...
3869 CROSS-ATTENTION WATERMARKING OF LARGE LANGUAGE MODELS 11858 CROSS-ATTENTION-GUIDED WAVENET FOR MEL SPECTROGRAM RECONSTRUCTION IN THE ICASSP 2024 AUDITORY EEG CHALLENGE 1121 Cross-Camera Human Motion Transfer by Time Series Analysis 1284 CROSS-DOMAIN CROSS-TASK TRANSFER MOBILE TOUCH-STROKE AUTHENTICATION...
such as robots and large language models. The book is divided up into 4 parts: Homo Technologicus, The Next Wave, State of Failure, and Through the Wave. These different chapters talk about the acceleration and movement of technology in human history, where each of these movements come and ...