Muhammad Junaid
Muhammad Junaid
  • Видео 12
  • Просмотров 3 696
Building Agentic Systems Using LangGraph and LangChain - Live Class 2 (Unedited) | October 6, 2024
On 6th October, we delved into essential LangGraph concepts and hands-on projects, enhancing our practical skills in AI agent development. This session focused on understanding how to structure workflows, execute AI-driven tasks, and build AI pipelines using LangChain and LangGraph.
1. *01 Conditional Edges*
In this module, we explored how to implement conditional edges to guide task flows based on dynamic conditions within LangGraph. This allows for greater flexibility and customization in automating processes.
github.com/panaversity/learn-applied-generative-ai-fundamentals/blob/main/21_langchain_ecosystem/langgraph/course-notebooks/module-1/01_conditional_edge.ipynb
2. *2.1 LLM Actions and ...
Просмотров: 446

Видео

Deploy FastAPI MicroService to Azure Container App using VS Code (Trial Subscription)
Просмотров 2603 месяца назад
🔴 Comprehensive guide on deploying a FastAPI microservice to Azure Container App using Visual Studio Code! 🚀 In this tutorial, we walk you through the step-by-step process of setting up and deploying your FastAPI microservice on Azure, leveraging the power of Visual Studio Code. This guide is perfect for developers using the Azure Trial Subscription, ensuring you can maximize your free trial wh...
Online Mart API Help Desk Session 3
Просмотров 4443 месяца назад
Final Project Assignment Link: github.com/panaverse/learn-generative-ai Microservices Asynchronous Communication Flow Code Discussed: github.com/mjunaidca/cnai-eda-microservice-template Project Tech Stack: - FastAPI: A modern, fast (high-performance) web framework for building APIs with Python. - Docker: For containerizing the microservices, ensuring consistency across different environments. -...
Online Mart API Help Desk Session 2 - Product Service
Просмотров 1,1 тыс.4 месяца назад
Online Mart API Help Desk Session 2 - Product Service Final Project Assignment Link: github.com/panaverse/learn-generative-ai/tree/main/ASSIGNMENTS/02_zia_online_mart Product Service Code Discussed: github.com/mjunaidca/ai-mart-platform-session-code/tree/product-service Project Tech Stack: - FastAPI: A modern, fast (high-performance) web framework for building APIs with Python. - Docker: For co...
ECLAI - Your Partner in Sustainable Living
Просмотров 587 месяцев назад
EclAI is your gateway to living in harmony with the planet. Consumers often find it challenging to determine the ecological and social impact of their lifestyle choices and purchases, from the foods they eat to the products they buy. This difficulty is compounded by the overwhelming amount of information, varying degrees of reliability, and the complexity of understanding the true sustainabilit...
Multi User Custom GPT connected with NextJS14 app & FastAPI Microservice | GPT OAuth Code Flow.
Просмотров 3669 месяцев назад
Excited to share CAX: "Multi User GPT connected with NextJS14 app." It's fully open source. You can chat or talk with TasksPal GPT on ChatGPT interface and review the updates live in your NextJS Web App Dashboard: 👉 Cax TasksPal GPT: chat.openai.com/g/g-fC8sZoDCi-cax-taskpal 👉 NextJS Web Interface: caxgpt.vercel.app/ 👉 GitHub Repository: github.com/mjunaidca/caxgpt Tech Stack and Flow Overview:...
Nivx Ecommerce AI | Gemini MultiModal NextJS14 Shopify Headless Commerce Hackathon Project
Просмотров 1189 месяцев назад
Meet NIVX: The AI voice first digital shopping assistant for small and mid size ecommerce businesses. On Frontend Fronterier Empowring Gen AI Multi Modals to create Immerse Shopping expeience. A scalable FastAPI backend combined with the best frontend framework. Try it out: nivx-ai.vercel.app/ In this lablab.ai Gemini Hackathon our team have developed complete Proof Of Concept using: 1. Gemini ...
End To End Streaming Cloud GenAI Project | NextJS14, Gemini Pro Streaming Pipeline| Fast API
Просмотров 44910 месяцев назад
Excited to share this "End To End Streaming Cloud GenAI Project". We have the FastAPI backend ai micro service that streams gemini pro llm response to frontend servers. This streaming pipeline powers function calling as well. - The Fast API is deployed on Google Run. (We have create a Docker Image and have a running container on Google Run). - In Gemini Pipeline we are using chat feature to mai...
Wandering AI Trips with Streamlit | OpenAI Assistants API Dev Day Demo Project Recreated
Просмотров 14010 месяцев назад
🗺️ Project Overview: Our project leverages the power of OpenAI's Assistant API to create a versatile chat-based interface that caters to your travel planning needs. Features: Prompt 1: Get Suggestions Explore the application's ability to provide travel suggestions. In this example, we'll ask for recommendations on 3 Christmas-themed places to visit in the UAE that are conveniently located near...
Streamlit-Powered AI Financial Analyst | Built Using OpenAI StateFul Assistants API!
Просмотров 9110 месяцев назад
Thrilled to unveil the latest chapter in our AI journey! 🌐 Check out the transformed "Financial-Analyst" project, now enhanced with a dynamic Streamlit interface and advanced functionalities. 🔗 Dive into the Code: github.com/mjunaidca/05-st-financial-assistant 📊 Explore Key Features: ✨ AI-Driven Financial Analysis: Harnessing the power of OpenAI's Assistants API for insightful financial informa...
Building an AI Financial Analyst with the Assistants API Part 1
Просмотров 16210 месяцев назад
This is a financial analyst project that get finance info from rest api and uses Open AI Assistants API architecture to help end users with financial analysis. Try it Out For: - Getting Financials Comparision - Plot Charts to see the Financials Comparision *Source Code*: github.com/mjunaidca/financial-analyst/tree/main Next we will be creating a frontend powered by streamlit for this AI finacia...
What is Metaverse - Buzzword or the Next Big Thing !
Просмотров 362 года назад
The focus on change has hyped Metaverse Buzz. Watch this video to find the facts behind this term and what are the potential prospects for future.

Комментарии

  • @ahmedbadar3398
    @ahmedbadar3398 День назад

    6-october-2024=q3=Junaid=agentic,langgrpah

  • @Algorify1
    @Algorify1 3 дня назад

    sir kindly upload class 1 video.

  • @faridullahkhan1
    @faridullahkhan1 11 дней назад

    Nice Video. So you have more courses like this in Urdu ? Ai Automation courses ? How can I join these classes ?

    • @aimjs
      @aimjs 9 дней назад

      You can watch Q3,Q4,Q5 Online Session Recordings for Developing Multi Agent Systems here: ruclips.net/video/Rz4mD3KMBe8/видео.html

  • @qazimtahir
    @qazimtahir 16 дней назад

    Excellent sir Junaid sahib. Yesterday I was unable to completely attend the class.

  • @KashishVarshney-cr7iz
    @KashishVarshney-cr7iz Месяц назад

    this gemini streaming code is not working in my docker container

    • @aimjs
      @aimjs 9 дней назад

      The Gemini API have changes much since this implementation. I will recommend to check latest docs and update Gemini Config.

  • @bushraabro4309
    @bushraabro4309 3 месяца назад

    Where is session 1?

  • @abdulqadar9580
    @abdulqadar9580 4 месяца назад

    Sir Freelancing k Session online krna please.

  • @osamafreelancer2298
    @osamafreelancer2298 4 месяца назад

    Online Mart API Help Desk Session 1 bhe upload kr dn

  • @yoking1213
    @yoking1213 8 месяцев назад

    This was helpful Junaid! Thanks for creating this video and the code. I was stuck with some flows in FastAPI your structure gave me some clarity on how I can structure my app. Thanks!

  • @julietpaul1685
    @julietpaul1685 9 месяцев назад

    Promo>SM

  • @jesusnunez5200
    @jesusnunez5200 10 месяцев назад

    Your tutorial is informative, but I believe Pips AI's tutorial on the Assistants API offers a superior explanation and practical application. It was a major help in my projects.

  • @reinaldojaimes5090
    @reinaldojaimes5090 10 месяцев назад

    While this tutorial covers the basics well, Pips AI's tutorial on the Assistants API offers a more comprehensive and nuanced explanation. It's ideal for those who want a more in-depth understanding.

  • @pundol56
    @pundol56 10 месяцев назад

    Good effort on explaining the Assistants API. However, I found Pips AI's tutorial to be better in terms of depth and clarity. It helped me grasp the concepts more effectively.