Gen AI Project Using Llama3.1 | End to End Gen AI Project

This is end to end LLM and gen ai project that will use Llama3.1 open source LLM, chromadb (vector store), Langchain and streamlit to build a tool called cold email generator. This tools helps Software and AI services companies send cold emails to their potential clients.

Timestamps

00:00 Introduction
00:12 Problem Statement
03:12 Tech Architecture
04:33 Llama3.1 and Groq
09:58 Chromadb tutorial
15:53 Build notebook for email generation
29:40 Streamlit UI and project structure

#️⃣ Social Media #️⃣

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[dhanraj]

What a coincidence! I created a POC in my company with almost the exact same tech stack and almost similar application 😊

[Rushidarekar]

Sir I thank you from bottom of my heart for this amazing tutorials . Really getting to learn a lot!!!!

[tn_shahin]

Sir i got my job in London as remote ML engineer. Your video helps me to crack the interview

[itech]

Outstanding exploration of Gen AI with Llama3.1! AI .. Thank you sir

[LittleLab]

Your guidance has been greatly beneficial to me as a data science student.

[pratieks]

Wishing you a happy teachers' day, Dhaval sir 🤍 Thank you for uploading yet another amazing tutorial!

[neelkanani]

This is Amazing ! The best part you described the very basic things going to the website document which builds the confidence in us.

[sirishkumar-mz]

Outstanding exploration of Gen AI with Llama3.1! AI agents such as SmythOS provide infinite integration opportunities and pre-built templates for individuals that want to investigate additional solutions. #GenAI #AIInnovation

[RafikKouissar]

Very helpful project which can be expanded and leveraged to many other use cases. Thank you sir for your excellent teaching and detailed explanations!

[srinivasadineshparupalli]

Thank you very much for this crip and clear content on the LLM with llama. I would rewrite your video of Restuarant suggestion application (which was using OpenAI) with llama. Once again thank you for this video. Appreciate your efforts.

[MaithilGuy]

I Just finished my End to End NLP project, now I'll start this one 👻👻

[rajeshbhosale]

Thanks for the sales nuggets—key input for contextual cold emails!

[dankstern]

What a great lesson!! I always learn so much from you. Thank You

[bharatsaraswat]

Thanks again for the detailed tutorial, I have two questions
1. What is the cost of running such models in production.
2. While scraping the links, any rate limiting issues you have faced ?

[VemuHanu]

Great work, Thank you. Pls keep on adding more videos like this.

[manavgora]

Hello Dhaval sir, first of all thankyou for the the quality content..😁

I had a little doubt.


I think this code is good enough for a college project, but for solving the same problem on an industrial level, do we need some extra tools or services.
And how can I learn to code like industry standards.

Thank You😇

[bharatsaraswat]

Kudos to you for explaining in detail 😀

[ambujbaranwal]

00:04 Building a cold email generator using Lama 3.1
02:38 Automated email generation based on job post skills
08:19 Using Llama3.1 for fast response
10:55 Creating and manipulating collections in ChromaDB using Python
16:27 Web B loader for web scraping and data extraction
19:09 Utilizing prompt extract for data extraction and email generation
24:08 Creation and retrieval of data using Python code
26:28 Creating prompt templates for email generation using Gen AI Project
31:02 Streamlit framework for quick UI prototyping
33:42 Best practice for storing API key separately from code
38:34 Automating job application process with Gen AI Project using Llama3.1
40:46 Using Llama3.1 for Gen AI Project

[architsaxena]

Great video!! I have a question
What about the cost? Will it also incur cost based on the tokens or is there any way to run it locally?

[Diya-fz]

Thankyou very much sir you are a pure blessing