language-planner VS alpaca_eval

Compare language-planner vs alpaca_eval and see what are their differences.

alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast. (by tatsu-lab)
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language-planner alpaca_eval
1 4
227 1,134
- 10.0%
0.0 9.6
almost 2 years ago 7 days ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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language-planner

Posts with mentions or reviews of language-planner. We have used some of these posts to build our list of alternatives and similar projects.

alpaca_eval

Posts with mentions or reviews of alpaca_eval. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-28.
  • UltraLM-13B reaches top of AlpacaEval leaderboard
    3 projects | /r/LocalLLaMA | 28 Jun 2023
    Alpaca Eval is open source and was developed by the same team who trained the alpaca model afaik. It is not like what you said in the other comment
  • [P] AlpacaEval : An Automatic Evaluator for Instruction-following Language Models
    2 projects | /r/LocalLLaMA | 8 Jun 2023
    I have been going deep in this space for my can-ai-code project and was looking at the config that WizardLM was run with: https://github.com/tatsu-lab/alpaca_eval/blob/main/src/alpaca_eval/models_configs/wizardlm-13b/configs.yaml
    2 projects | /r/MachineLearning | 8 Jun 2023
    an automatic evaluator that is easy to use, fast, cheap and validated against 20K human annotations. It actually has a higher agreement with majority vote of humans than a single human annotator! Of course, our method still has limitations which we discuss here!

What are some alternatives?

When comparing language-planner and alpaca_eval you can also consider the following projects:

gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model

Local-LLM-Comparison-Colab-UI - Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

augmented-interpretable-models - Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

tldr-transformers - The "tl;dr" on a few notable transformer papers (pre-2022).

FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

BLOOM-fine-tuning - Finetune BLOOM

llm-search - Querying local documents, powered by LLM

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

alpaca_farm - A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

mgpt - Multilingual Generative Pretrained Model

medmcqa - A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.