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Top 16 Python few-shot-learning Projects
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习Project mention: [D] Medium Article: Adaptive Learning for Time Series Forecasting | /r/MachineLearning | 2022-10-02
The src is available in https://github.com/jindongwang/transferlearning I'll also publish about how to code the model for time series
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etcProject mention: AI lessons | /r/ChatGPT | 2023-05-09
Yes, there are a lot of different resources online, especially for generative AI. The Awesome Prompt Engineering github is probably a good place to start https://github.com/promptslab/Awesome-Prompt-Engineering. If you're focusing directly on OpenAI's models then the OpenAI Prompt Engineering Guide would be my recommendation https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api.
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FSL-Mate: A collection of resources for few-shot learning (FSL).
:dart: Task-oriented finetuning for better embeddings on neural searchProject mention: How do you think search will change with technology like ChatGPT, Bing’s new AI search engine and the upcoming Google Bard? | /r/singularity | 2023-02-21
And all of that has something to do with finetuners. It basically fine-tunes AI models for specific use cases. With it can create a custom search experience that is tailored to their specific needs. I also wonder how this is going to be integrated into SEO tools soon since those tools are catered to traditional search engines.
OpenMMLab FewShot Learning Toolbox and BenchmarkProject mention: MMDeploy: Deploy All the Algorithms of OpenMMLab | /r/u_Allent_pjlab | 2022-11-21
MMFewShot: OpenMMLab fewshot learning toolbox and benchmark.
Measuring Massive Multitask Language Understanding | ICLR 2021 (by hendrycks)Project mention: [Colab Notebook] Launch quantized MPT-30B-Chat on Vast.ai using text-generation-inference, integrated with ConversationChain | /r/LangChain | 2023-07-09
One method for comparison is the MMLU https://arxiv.org/abs/2009.03300.
PaL: Program-Aided Language Models (ICML 2023) (by reasoning-machines)Project mention: Prompt Engineering Guide: Guides, papers, and resources for prompt engineering | news.ycombinator.com | 2023-02-21
Using the terminology that I'm working with this is an example of a second-order analytic augmentation!
Here's another approach of second-order analytic augmentation, PAL: https://reasonwithpal.com
And third-order, Toolformer: https://arxiv.org/abs/2302.04761
The difference isn't in what is going on but rather with framing the approach within the analytic-synthetic distinction developed by Kant and the analytic philosophers who were influenced by his work. There's a dash of functional programming thrown in for good measure!
I have scribbled on a print-out of the article on my desk:
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 (by HugAILab)Project mention: HugNLP: A Unified and Comprehensive Open-Source Library for NLP | news.ycombinator.com | 2023-05-03
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.Project mention: ChemCrow: Augmenting large-language models with chemistry tools | news.ycombinator.com | 2023-04-17
>the systems operation are well understood
That's like saying human behavior is well understood because we know how neurons communicate signals. It's too low level to be useful, hence psychology.
>They don't have the ability to reason or reflect.
Yes they do
A method to fix GPT-3 after deployment with user feedback, without re-training.Project mention: Allen Institute for Artificial Intelligence Introduces MemPrompt: A New Method to “fix” GPT-3 After Deployment with User Interaction | /r/machinelearningnews | 2022-12-18
Quick Read: https://www.marktechpost.com/2022/12/18/allen-institute-for-artificial-intelligence-introduces-memprompt-a-new-method-to-fix-gpt-3-after-deployment-with-user-interaction/ Paper: https://arxiv.org/abs/2201.06009 Code: https://github.com/madaan/memprompt
Zero and Few shot named entity & relationships recognitionProject mention: A transformer-based method for zero and few-shot biomedical NER | news.ycombinator.com | 2023-05-12
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILabProject mention: HugNLP: A Unified and Comprehensive Library for Natural Language Processing | news.ycombinator.com | 2023-04-13
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)Project mention: What approach to take predicting a simple data stream? | /r/neuralnetworks | 2022-10-03
Interesting approach to small datasets. Here is an implementation I'll look at: https://github.com/BayesWatch/deep-kernel-transfer
Open source library for few shot NLP (by salesforce)
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
A set of utilities for running few-shot prompting experiments on large-language modelsProject mention: Using Da-Vinci-003 in a Jupyter Notebook | /r/OpenAI | 2022-12-02
While it's a bit of an overkill, prompt-lib provides a notebook to do this: https://github.com/reasoning-machines/prompt-lib/blob/main/notebooks/QueryOpenAI.ipynb
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Python few-shot-learning related posts
Remote Work 2.0: The Tools, Trends, and Challenges of the Post-Pandemic Work Era
1 project | dev.to | 13 Aug 2023
[Colab Notebook] Launch quantized MPT-30B-Chat on Vast.ai using text-generation-inference, integrated with ConversationChain
1 project | /r/LangChain | 9 Jul 2023
A transformer-based method for zero and few-shot biomedical NER
1 project | news.ycombinator.com | 12 May 2023
1 project | /r/ChatGPT | 9 May 2023
Partial Solution To AI Hallucinations
1 project | /r/ChatGPT | 3 May 2023
HugNLP: A Unified and Comprehensive Open-Source Library for NLP
2 projects | news.ycombinator.com | 3 May 2023
[D] A model to extract relevant information from a Sample Ballot.
1 project | /r/MachineLearning | 29 Apr 2023
A note from our sponsor - Mergify
blog.mergify.com | 22 Sep 2023
What are some of the best open-source few-shot-learning projects in Python? This list will help you: