Learn LangChain In 1 Hour With End To End LLM Project With Deployment In Huggingface Spaces

Time Stamp

00:00:00 Introduction
00:02:22 Agenda Langchain
00:04:48 Installing Libraries And environment
00:10:03 Langchain Basics Examples
00:19:03 Hugging Face API token
00:27:06 Prompt Templates
00:31:21 LLMChain
00:34:10 Simple And Sequntial Chain
00:46:12 ChatModels With Chatopenai
00:52:40 Prompt Template, LLM And OutputParser
01:01:49 Q&A Chatbot With Deployment

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[ocbhu]

Thanks Krish, these video are amazing & because of you it seems like its really possible to quickly learn & leverage open ai llm models . Keep up the good work !!! Cheers !!

[lanreuzamere]

What a Blessing you are! GOD Bless you exponentially 🎉

[muraliteja]

Thank you sir for creating this type of projects with langchain

[aarizmobin]

Amazing tutorial.. thank you krish .. you are great.. love you ..

[gautambegde]

Thank you Krish sir for such an informative video!

[AIforAll-DOMANA]

learning by practice is the best thing ; THANK YOU SIR KRISH

[PAVANKUMAR-vxty]

it is a great tutorial without doubt! Please upload more videos like this❤❤

[jimharrington]

Thanks Krish, Please upload more videos also.

[aillmforsenioritprofessionals]

That joke on 3cr package was very subtle :)

[amiralioghli]

Hi, sir. Since you are working with sequential data, may I kindly suggest that you consider creating a video tutorial on implementing Transformers for time series data? This tutorial could cover topics such as forecasting, classification, or anomaly detection. It's not necessary to cover all of them; just one would be sufficient.

[maryam]

Hello Sir,
The openAI api and google gemini api both are paid so how a student who wants to include this project in his portfolio bears the cost because they are expensive

[HarpaAI]

🎯 Key Takeaways for quick navigation:

00:00 📋 *Introduction and Agenda*
- Introduction to LangChain and the purpose of the video.
- Agenda for the video, focusing on practical orientation and end-to-end projects.
02:46 🛠️ *Environment Setup and API Key*
- Setting up a virtual environment (VENV) for the project.
- Obtaining and handling the OpenAI API key.
- Installing necessary libraries.
08:35 🧠 *Understanding Temperature in Language Models*
- Explanation of the temperature parameter in language models.
- How temperature affects model output creativity.
16:12 🤖 *Model Prediction and Output*
- Demonstrating model prediction with a sample input.
- Displaying the output of the language model.
18:30 🤝 *Using Hugging Face Models*
- Installing the Hugging Face library.
- Setting up the Hugging Face API token for accessing open-source models.
- Exploring available Hugging Face models for text generation.
21:21 🧩 *Understanding LangChain and Hugging Face Integration*
- Learn how to integrate LangChain and Hugging Face for language models.
23:28 📊 *Comparing OpenAI GPT-3.5 and Hugging Face LLM Models*
- OpenAI GPT-3.5 provides more detailed responses compared to Hugging Face LLM models.
27:09 🧵 *Working with Prompt Templates in LangChain*
- Using prompt templates to structure input for LLN models.
34:12 🔗 *Combining Multiple Chains with Simple Sequential Chain*
- How to combine multiple chains using the Simple Sequential Chain approach.
01:07:22 🚀 *Setting Up Basic Application*
- Creating a basic application.
- Initializing a Streamlit app.
- Setting page titles and headers.
- Handling user input with a submit button.
01:09:55 🧩 *Capturing User Input and Calling OpenAI Model*
- Capturing user input using a text field.
- Sending user input to the OpenAI model.
- Processing and returning the model's response.
- Exploring how the OpenAI model can be customized.
01:13:19 🌐 *Deployment on Hugging Face Spaces*
- Deploying the application on Hugging Face Spaces.
- Adding secret keys for OpenAI API.
- Uploading the application files.
- Testing the deployed chatbot in a public space.

Made with HARPA AI

[harshsonawane]

i am unable to implement / run part after sequential chain becoz i dont have access to openAI model
any alternative for those models
cant use opensource models from huggingface in ChatOpenAI
please suggest alternet suggestion

[himanshupatidar]

it's a great tutorial. just one issue that video title says hugging face hub and video is mostly implemented using openai where we usually get rate limit error in openai api.

[farhanafridi]

Please try to upload videos on Generative AI more frequently. 😢

[izainonline]

Installing IPI kernal required only 1 time for Jupitar Notebook as we are installing out of environment?

[laxmiagarwal]

very informative video..can we implement embeddings when we use gpt-3.5-turbo model?

[honeybhardwaz]

Hey, Krsih make some videos on AutoGen to, BTW awesome job.

[tannaprasanthkumar]

Sir I have a douby while using API keys, I get rate limit error

[Danny_DB-xilo]

Good explanation Sir...
Please, Can you elaborate how to do deployment using cli as well especially in huggingface?