Get LLM output as Python object with Langchain and Pydantic | Hands-on tutorial

Поделиться
HTML-код
  • Опубликовано: 10 янв 2025

Комментарии • 13

  • @DataScienceGarage
    @DataScienceGarage  Год назад

    Thank you for watching this video. I really appreciate your time. If you have any comments and experience to share, do not hesitate to leave it here in the comments!
    Have a nice day!
    - - -
    Want to learn data science from industry experts? Check it! turingcollege.org/DataScienceGarage

  • @ahassan7270
    @ahassan7270 Год назад

    Thank you so much for your clarifications. You have a WONDERFUL STYLE in delivering the ideas in a very simple and understandable way. You really deserve 10 stars out of 10.👏👏👏👏

  • @RollingcoleW
    @RollingcoleW 9 месяцев назад

    Powerful video and up to date as opposed to others right now! Thank you Data Science Garage

  • @Alex-pd5xc
    @Alex-pd5xc 9 месяцев назад

    you're a legend mate. very well explained!

  • @sridevigogusetty8371
    @sridevigogusetty8371 10 месяцев назад +1

    If you use models other than open ai will it work??

  • @ydas9125
    @ydas9125 9 месяцев назад

    Very useful and clear. Thank you

  • @israeabdelbar8994
    @israeabdelbar8994 10 месяцев назад

    huge thanks for this interesting video!

  • @ahassan7270
    @ahassan7270 Год назад

    Can you please make a video about streaming in langchain. I hope you have time to present how it is used. Thank you so much.

  • @mustafadogruer3830
    @mustafadogruer3830 Год назад

    Thanks for sharing