saran9991 / llm-data-annotation

Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance

Date Created 2023-07-28 (about a year ago)

Commits 38 (last one about a year ago)

Stargazers 32 (0 this week)

Watchers 0 (0 this week)

Forks 4

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RepositoryStats indexes 595,856 repositories, of these saran9991/llm-data-annotation is ranked #560,208 (6th percentile) for total stargazers, and #592,185 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #110,946/119,431.

saran9991/llm-data-annotation is also tagged with popular topics, for these it's ranked: llm (#2,595/2913), nlp (#2,344/2430), gpt (#1,019/1146), gpt-4 (#671/746), bert (#547/559), fine-tuning (#167/189)

All Topics

dvc gpt llm nlp bert gpt-4 mlflow cleanlab fine-tuning noisy-labels gpt-3-5-turbo active-learning data-annotation confident-learning

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38 commits on the default branch (master) since jan '22

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updated: 2024-12-17 @ 07:53pm, id: 671976170 / R_kgDOKA2K6g