Linking pages
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - AI4Finance-Foundation/ChatGPT-for-FinTech: ChatGPT for FinTech 🔥 https://github.com/AI4Finance-Foundation/ChatGPT-for-FinTech 0 comments
- GitHub - promptslab/Awesome-Prompt-Engineering: This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc https://github.com/promptslab/Awesome-Prompt-Engineering 0 comments
- GitHub - RUCAIBox/LLMSurvey: The official GitHub page for the survey paper "A Survey of Large Language Models". https://github.com/RUCAIBox/LLMSurvey 0 comments
- GitHub - lmmlzn/Awesome-LLMs-Datasets: Summarize existing representative LLMs text datasets. https://github.com/lmmlzn/Awesome-LLMs-Datasets 0 comments
- [2209.10372] WeLM: A Well-Read Pre-trained Language Model for Chinese https://ar5iv.labs.arxiv.org/html/2209.10372 0 comments
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- bigscience/T0pp · Hugging Face https://huggingface.co/bigscience/T0pp 157 comments
- BigScience Research Workshop https://bigscience.huggingface.co 11 comments
- [2109.01652] Finetuned Language Models Are Zero-Shot Learners https://arxiv.org/abs/2109.01652 4 comments
- [2110.08207] Multitask Prompted Training Enables Zero-Shot Task Generalization https://arxiv.org/abs/2110.08207 2 comments
- GitHub - huggingface/datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools https://github.com/huggingface/datasets 0 comments
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