Skip to main content

SelfCheckGPT: Assessing text-based responses from LLMs

Project description

Installation

pip install selfcheckgpt

SelfCheckGPT Usage

See more details in Jupyter Notebook: https://github.com/potsawee/selfcheckgpt/blob/main/demo/SelfCheck_demo1.ipynb

from selfcheckgpt.modeling_selfcheck import SelfCheckMQAG, SelfCheckBERTScore

selfcheck_mqag = SelfCheckMQAG()
selfcheck_bertscore = SelfCheckBERTScore()

sent_scores_mqag = selfcheck_mqag.predict(
    sentences,
    passage,
    [sample1, sample2, sample3],
    num_questions_per_sent = 5,
    scoring_method = 'bayes_with_alpha',
    beta1 = 0.8, beta2 = 0.8,
)
sent_scores_bertscore = selfcheck_bertscore.predict(
    sentences,
    [sample1, sample2, sample3],
)

MQAG Usage

See more details in Jupyter Notebook: https://github.com/potsawee/selfcheckgpt/blob/main/demo/MQAG_demo1.ipynb

from selfcheckgpt.modeling_mqag import MQAG
mqag_model = MQAG()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

selfcheckgpt-0.1.7.tar.gz (16.7 kB view details)

Uploaded Source

File details

Details for the file selfcheckgpt-0.1.7.tar.gz.

File metadata

  • Download URL: selfcheckgpt-0.1.7.tar.gz
  • Upload date:
  • Size: 16.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.13

File hashes

Hashes for selfcheckgpt-0.1.7.tar.gz
Algorithm Hash digest
SHA256 38568c38d9398c61976a2739e752e780c759189175f5a1f62c5b58a2d761c706
MD5 de19bd437c82e1a122825ad6d298912f
BLAKE2b-256 f8cbb4c3d96b5df9dfff6bb938d0690011a337880708be20c82f87e4ba7a093d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page