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 30 (0 this week)

Watchers 0 (0 this week)

Forks 4

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RepositoryStats indexes 584,353 repositories, of these saran9991/llm-data-annotation is ranked #559,590 (4th percentile) for total stargazers, and #580,846 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #110,479/116,326.

saran9991/llm-data-annotation is also tagged with popular topics, for these it's ranked: llm (#2,479/2726), nlp (#2,339/2400), gpt (#1,013/1107), gpt-4 (#679/733), bert (#548/558)

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: 2024-11-19 @ 07:07am, id: 671976170 / R_kgDOKA2K6g