Skip to main content

A pirate-talking LLM chatbot built with Groq

Project description

llm-inclass

doctest integration-tests

A pirate-talking LLM chatbot powered by Groq and llama-3.1-8b-instant. Chat with an AI that responds like a pirate in 1-2 sentences.

PyPI: https://pypi.org/project/cmc-csci040-jackbegley/

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

cmc_csci040_jackbegley-0.1.0.tar.gz (3.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cmc_csci040_jackbegley-0.1.0-py3-none-any.whl (2.4 kB view details)

Uploaded Python 3

File details

Details for the file cmc_csci040_jackbegley-0.1.0.tar.gz.

File metadata

  • Download URL: cmc_csci040_jackbegley-0.1.0.tar.gz
  • Upload date:
  • Size: 3.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for cmc_csci040_jackbegley-0.1.0.tar.gz
Algorithm Hash digest
SHA256 8e8a81708c99cbf1460c9900f3a7bc188695ac8d88e83f1f7470c5ed4cf2137d
MD5 e0a9f2842a0c9544c3b3eda7e29fe161
BLAKE2b-256 8703332073e9bb0423e2a2c3367911799b51cd35cad403fd152c218623f3ac9d

See more details on using hashes here.

File details

Details for the file cmc_csci040_jackbegley-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for cmc_csci040_jackbegley-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1bad963db2c2fb24501c98729050a653f5f762fa10a04a86beb80b58cad13fc5
MD5 8811836a41326ad1299a8d4624216f2f
BLAKE2b-256 c3c2c952e8305495a6e92cd185249282996f0cd83e46137d6edea3eb2e0b72c4

See more details on using hashes here.

Supported by

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