Akash Dawari
Akash Dawari
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Output Parsers in Langchain | Tutorial - (Python, Colab, LLama3)
#langchain #ollama #llama3 #python
🌟 Welcome, fellow prompt engineers! 🌟
🚀 Dive deeper into the realm of prompt engineering with this in-depth tutorial! 💻✨ Learn how to harness the might of Langchain, the ultimate prompt engineering tool, in Google Colab without spending a penny on subscriptions!
Let's now delve into the intricacies of output parsing within Langchain. Output parsers play a crucial role in transforming the output of a Language Model (LM) into a more suitable format, especially when dealing with structured data generation.
One notable advantage of Langchain Output Parsers is their extensive variety catering to diverse needs. Additionally, many of these parsers boast support for streaming, enhancing their utility and efficiency in handling data.
Переглядів: 112

Відео

Prompt Engineering using Langchain | Tutorial - (Python, Colab, LLama3)
Переглядів 1636 місяців тому
#python #langchain #promptengineering #llama3 🌟 Welcome, fellow prompt engineers! 🌟 🚀 Embark on an exciting journey into the realm of prompt engineering with this comprehensive tutorial! 💻✨ Learn how to wield the power of Langchain, the ultimate prompt engineering tool, in Google Colab without spending a penny on subscriptions! shorturl.at/esMW8 - Access the Google Colab notebook for reference ...
Running LLM in Google Colab for Free! (using Ollama ) | Step-by-Step Tutorial
Переглядів 5 тис.6 місяців тому
#ollama #llm #colab #googlecolab #langchain #python 🌟 Welcome, everyone! 🌟 🚀 Dive into the world of open-source magic with this electrifying tutorial! 💻✨ Discover how to unleash the power of Ollama, the open-source LLM tool, in Google Colab without spending a dime on subscriptions! shorturl.at/kotIN - Access the Google Colab notebook for your reference and te commands which I have used. But wai...
Introduction to LangChain - Answering What, Why and How
Переглядів 646 місяців тому
🌟 Welcome, everyone! 🌟 Are you curious about LangChain but not sure where to start? Look no further! In this video, we provide a concise yet comprehensive introduction to LangChain, covering everything you need to know to get started. Whether you're a beginner or just looking to brush up on your knowledge, this video is for you! 🔍 What is LangChain? 🔍 Why is LangChaint? 🔍 How is LangChain? Find...

КОМЕНТАРІ

  • @AkashSingh-sm7tk
    @AkashSingh-sm7tk 20 днів тому

    Do we have to do it every time before doing the code in llm?

  • @ramannegi3729
    @ramannegi3729 Місяць тому

    Bhai how we can make a use case let suppose we want create a website of ollama chat bot

  • @almouhandis-kv4pb
    @almouhandis-kv4pb Місяць тому

    Life saver, I learned a lot from this video. I didn't even imagine that i can run a command prompt on colab

  • @ravishmahajan9314
    @ravishmahajan9314 3 місяці тому

    Good video ❤ Keep up the good work. It's a growing field. Hopefully you will have many subscribers.

  • @Familyguy2141
    @Familyguy2141 3 місяці тому

    Great tutorial bro Thanks

  • @vanshikaiitbombay1222
    @vanshikaiitbombay1222 4 місяці тому

    Thank you so much, your explanation was so simple yet so effective, I was searching for this solution from past two days on youtube Great efforts!! Keep it up!!

  • @AnshuSharma-x3n
    @AnshuSharma-x3n 5 місяців тому

    Nice

  • @tareasc08
    @tareasc08 5 місяців тому

    Thanks for making this video, do you have a link to the colab so I can copy it and work there? Thanks!

  • @failworld___0988
    @failworld___0988 5 місяців тому

    🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥

  • @NitinRawat-n1p
    @NitinRawat-n1p 5 місяців тому

    sir can we load our installed LLAMA 3(which is in my LAPTOP) using LM studio on colab

  • @rajgholap1198
    @rajgholap1198 5 місяців тому

    How much time will it take to load the model (llama3) ?? Bcoz I'm getting pulling manifest msg only for a long time!!

  • @Marius-jb1jh
    @Marius-jb1jh 5 місяців тому

    great idea with xterm instead of colab pro ...

  • @NoTimeWaste1
    @NoTimeWaste1 5 місяців тому

    Thanks bro, everything is working perfectly. My only problem is how to remove that and make the answer more readable to normal human eyes

    • @NoTimeWaste1
      @NoTimeWaste1 5 місяців тому

      Never mind, I got the answer. You just have to click on copy icon (available at the end of text), instead of manually selecting the block and then copying it.

  • @NoTimeWaste1
    @NoTimeWaste1 5 місяців тому

    For people who're trying to run Llama 3 on Google colab, make sure to change the model name to Llama 3 in the following code, just like I did, otherwise you'll encounter error: from langchain_community.llms import Ollama llm = Ollama(model="llama3")

  • @kumarshubham142
    @kumarshubham142 6 місяців тому

    Thanks for the tutorial. Please shre the colab notebook. 😀

  • @failworld___0988
    @failworld___0988 6 місяців тому

    🔥🔥🔥🔥🔥🔥🔥

  • @failworld___0988
    @failworld___0988 6 місяців тому

    ❤❤❤❤

  • @failworld___0988
    @failworld___0988 6 місяців тому

    🔥🔥🔥🔥🔥🔥🔥🔥🔥