01 - Introduction to Generative AI and LLMs

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  • Опубліковано 1 гру 2024

КОМЕНТАРІ • 13

  • @556west
    @556west 10 місяців тому

    Great !! Thanks a lot for this tutorial !!

  • @DemianUsul
    @DemianUsul Рік тому +6

    I’m worried cause I don’t have access to Azure OpenAI so I can’t follow this course completely. Is there any workaround for this? 😢

    • @carlottacastelluccio1644
      @carlottacastelluccio1644 Рік тому +1

      Hi @DemianUsul, we plan to add support to the OpenAI public API to the curriculum. Also, this is an open source project, so if anyone is interested in contributing to this feature let us know by opening PRs or issues.

    • @diegogdat
      @diegogdat Рік тому +1

      Please let me know if you find the workaround for this since I don't have access either

    • @袁琴-w2b
      @袁琴-w2b 11 місяців тому

      Sounds great & hope it will be available soon@@carlottacastelluccio1644

    • @paroleschansons7841
      @paroleschansons7841 11 місяців тому

      Did you find a solution ?

  • @sitrakaforler8696
    @sitrakaforler8696 Рік тому

    Really cool to share it online ! :D

  • @amitsaraswat22
    @amitsaraswat22 Рік тому

    Awesome explanation

  • @HarpaAI
    @HarpaAI Рік тому +6

    🎯 Key Takeaways for quick navigation:
    00:00 🎉 *Introduction to Generative AI and Large Language Models*
    - Introduction to the course on generative AI and large language models.
    - Explanation of how large language models are transforming education through a fictional startup.
    - Overview of the course objectives and what will be covered.
    01:25 🧠 *Evolution of AI and Language Models*
    - The historical development of AI technology, from early chatbots to modern large language models.
    - The role of machine learning algorithms and neural networks in advancing natural language processing.
    - The emergence of Transformers as a key architecture for large language models.
    03:58 🔠 *Tokenization and Model Mechanism*
    - Explanation of tokenization and its importance in large language models.
    - How large language models predict output tokens and incorporate them into the next iteration.
    - The selection process for output tokens and the introduction of randomness for creativity.
    06:12 📝 *Prompts and Completions*
    - Definition of prompts and completions in the context of large language models.
    - Examples of different types of prompts and their use cases.
    - Demonstrating the potential of generative AI, particularly in educational contexts.
    Made with HARPA AI

  • @gabriel-r5m3c
    @gabriel-r5m3c Рік тому

    really fantastic

  • @Cosmonerd72
    @Cosmonerd72 6 місяців тому

    Does this course give certificate ?

  • @VualidK
    @VualidK Рік тому

    lets go

  • @shahidulislamzahid
    @shahidulislamzahid Рік тому

    In this video, we cover:
    ✅Introduction our startup idea and mission.
    ✅Generative AI and how we landed on the current technology landscape.
    ✅Inner working of a large language model.
    ✅Main capabilities and practical use cases of Large Language Models.