How to Build a Free ChatBot Using LLAMA-3 || Langchain || Python

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  • Опубликовано: 8 июл 2024
  • Welcome to my latest tutorial, where I unveil the ultimate Chatbot solution powered by cutting-edge technology! In this video, I'll guide you through the step-by-step process of creating a state-of-the-art chatbot using Retrieval-Augmented Generation (RAG) with Langchain, Meta LLAMA3, and GPT-3.5.
    Here's what you'll learn:
    Integrating Langchain to connect your data sources and prepare them for RAG-based chatbot training.
    Leveraging the natural language generation prowess of Meta LLAMA3 to generate contextually appropriate responses.
    Real-time demonstrations of the chatbot in action, showcasing its ability to understand user queries and provide accurate and informative responses.
    Tips and tricks for enhancing user experience and maintaining the effectiveness of your chatbot over time
    Whether you're a developer, AI enthusiast, or entrepreneur looking to create a game-changing chatbot solution, this tutorial will equip you with the knowledge and skills to build a chatbot that stands out from the crowd. Get ready to revolutionize the way you interact with your audience-let's build your ultimate chatbot together!
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    Download Ollama here: ollama.com/download
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    Link to the code: github.com/Tech-Watt/AI-ChatBot-
    #chatbot #llama3 #opensource #everyone #rag #datascience #ai #ml #machinelearning #llm #chatbot #generativeai #tutorial #langchain #llama #deeplearning #artificialintelligence #machinelearning
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Комментарии • 47

  • @kishoreg8835
    @kishoreg8835 2 месяца назад +6

    OMG I was waiting for this video since my birth. I was so lonely inside my mother's womb ....now I can have a chat with a friend 🥺🎻

    • @tech_watt
      @tech_watt  2 месяца назад +1

      Now you have it lol 😆. Why not share with someone having the same feelings as you 😀😀

    • @kishoreg8835
      @kishoreg8835 2 месяца назад +2

      @@tech_watt i don't want friends. I now MAKE friends .... Using this video. I am God.

    • @tech_watt
      @tech_watt  2 месяца назад

      lol 😂. Just share let’s build this community together thanks 😊

  • @kelvindavis8220
    @kelvindavis8220 2 месяца назад +2

    The great tech channel on RUclips

  • @Watttechs
    @Watttechs 2 месяца назад +4

    Every video on your channel is easy to understand. what a tutorial

    • @tech_watt
      @tech_watt  2 месяца назад

      Glad to hear that!

  • @aiforyounow
    @aiforyounow 2 месяца назад +2

    Just what i have been waiting for all this while. Great content ✌✌✌

  • @janealexander495
    @janealexander495 2 месяца назад +1

    Just what am looking for. Thanks for this awesome tutorial

  • @MarryWills
    @MarryWills 2 месяца назад +1

    Oh my gosh this exactly what am looking for. Such a great tutorial thank you for making this tutorial 🎉

    • @tech_watt
      @tech_watt  2 месяца назад

      Thanks 🙏 for your support

  • @janealex163
    @janealex163 2 месяца назад

    Thanks for this great tutorial.

  • @watttech2356
    @watttech2356 2 месяца назад +1

    man thanks for this great tutorial. I got it right when i needed it.

  • @pytube593
    @pytube593 2 месяца назад +1

    Special tutorial and as usual you make it look simple and understandable

    • @tech_watt
      @tech_watt  2 месяца назад

      Glad you liked it

  • @kimlele8485
    @kimlele8485 Месяц назад +2

    This great explanation

    • @tech_watt
      @tech_watt  Месяц назад

      Thanks a lot pls share and like

  • @kesilaugustine
    @kesilaugustine Месяц назад +1

    This is a great video . I have a questions - what is the llama3 equivalent to
    vector_storage = FAISS.from_documents(chunks,OpenAIEmbeddings())
    retriever = vector_storage.as_retriever()
    I want to try llama3 not openAI

    • @tech_watt
      @tech_watt  Месяц назад

      Thanks for your feedback. Check out how to use llama embedding here. python.langchain.com/v0.1/docs/integrations/text_embedding/ollama/

  • @csdl910
    @csdl910 Месяц назад +1

    Wow!! Thank you so much!! And the gold question is: how do I upload this to server, cpanel, etc

    • @tech_watt
      @tech_watt  Месяц назад +1

      You can use online vector databases like pine cone or single store.

    • @tech_watt
      @tech_watt  Месяц назад

      I will release a tutorial on that soon

    • @csdl910
      @csdl910 Месяц назад

      @@tech_watt That would be amazing. Thank you!

  • @gustavodemaria2085
    @gustavodemaria2085 Месяц назад +1

    Hi Tech Watt : may be is a silly question but why you use ChatGPT model and Llama3 and not only , one of the models, for example Llama 3 only . Thanks for the video

    • @tech_watt
      @tech_watt  Месяц назад

      I intended to use only LLAMA3 because it’s open source and free but am using it via Ollama and it’s very slow in responding to the input prompts so I decided to teach you how to use llama3 but because of the speed I used GPT3.5 turbo for the tutorial.

    • @gustavodemaria2085
      @gustavodemaria2085 Месяц назад +1

      @@tech_watt Thanks for the answer and the explanation👍

  • @wattstec8965
    @wattstec8965 2 месяца назад +1

    Thanks for sharing this great content for free

  • @MultiAjay1990
    @MultiAjay1990 Месяц назад +1

    how to create the input data as required like prompt , assistant etc as shown in your input data

    • @tech_watt
      @tech_watt  Месяц назад

      So the data I used was a real customers data I used for a company before so you can use your own data for it thanks.

    • @MultiAjay1990
      @MultiAjay1990 Месяц назад +1

      @@tech_watt so I can just use my data and not required to have it in a specific format ?

    • @tech_watt
      @tech_watt  Месяц назад

      @MultiAjay1990 yes so with this tutorial my data is in csv format. But Langchain have support for other data formats as well

  • @abhishekpoudel500
    @abhishekpoudel500 5 дней назад

    How is this free if I am using OpenAI Key??? It has limitations.

  • @rammohanbethi
    @rammohanbethi 28 дней назад +1

    Can u build a pic of voice to voice phonecall customer care chatbot using langchain LLM

    • @tech_watt
      @tech_watt  28 дней назад

      Yes that’s possible

    • @rammohanbethi
      @rammohanbethi 28 дней назад

      If possible can you please explain the steps involved that how can we develop it

    • @rammohanbethi
      @rammohanbethi 28 дней назад

      Or can you make a video of voice to voice bot using LLM lang chain

  • @gazzalifahim
    @gazzalifahim 11 дней назад +1

    Is this Llama3?? All I see is OpenAI, opposing the Video Title.

    • @tech_watt
      @tech_watt  9 дней назад

      So obviously I showed you how to use llama at the beginning of the tutorial but running llama through ollama takes way more time to generate response. And this is the very reason why I used OpenAI.

  • @dimitrylacmou2777
    @dimitrylacmou2777 Месяц назад +2

    How many data can we store in the data fiel? Is it unlimited?

    • @tech_watt
      @tech_watt  Месяц назад

      Yes you can store large amounts of data in it

    • @dimitrylacmou2777
      @dimitrylacmou2777 Месяц назад +1

      @@tech_watt that is great. Which kind of data can I store? Only the utility information that the model needs to know or something else?

    • @tech_watt
      @tech_watt  Месяц назад

      @dimitrylacmou2777 you can use data from txt files, data from pdf and some on

  • @jaythakar8105
    @jaythakar8105 2 месяца назад +1

    will it work for python 3.12.3?

    • @tech_watt
      @tech_watt  2 месяца назад

      I haven’t try with it but I can assure you it works with python version 3.10.0

  • @ahmedzaky2748
    @ahmedzaky2748 2 месяца назад +1

    where is data fiel ?

    • @tech_watt
      @tech_watt  2 месяца назад +1

      Is a company data and am using it for teaching purpose only. Sorry 😢 but you can use your own data 📉