Machine Learning🧠 Hub

New chapter. New office. New responsibilities. 🚀#life #Ahmedabad #softwareengineer #AWS #goal From building AI/ML systems to leading projects — this is my office life in Ahmedabad as a Tech Lead 💻✨ Balancing corporate life, AI projects, AWS architecture, and content creation isn’t easy… but this journey is worth it 🔥 Ahmedabad mornings ☀️ Office hustle 💼 Code + Coffee ☕ Growth mindset 📈 Let’s build, learn & grow together 🚀 More AI, AWS & Tech content coming soon 💙

🚀 𝐓𝐡𝐫𝐢𝐥𝐥𝐞𝐝 𝐭𝐨 𝐩𝐫𝐞𝐬𝐞𝐧𝐭 𝐦𝐲 𝐥𝐚𝐭𝐞𝐬𝐭 𝐥𝐢𝐯𝐞 𝐏𝐨𝐂 𝐝𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐜𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐚𝐧 𝐀𝐖𝐒 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐂𝐡𝐚𝐭𝐁𝐨𝐭 𝐰𝐢𝐭𝐡 𝐜𝐡𝐚𝐭 𝐡𝐢𝐬𝐭𝐨𝐫𝐲 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧! 🤖💬 In this comprehensive 1 hour 10 minutes session, I walk you through: - 🔍 Explaining the PoC use case - 🏗️ Architecting the PoC with Eraser - 💻 Technical implementation using AWS Lambda, API Gateway, EC2, and Langchain as a framework for LLM Used Services 📌 𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚: Responsible for managing API backend Object Detection processing. 📌 𝐀𝐖𝐒 𝐒𝐀𝐌: Utilized for orchestrating AWS serverless services such as Lambda and API Gateway. 📌 𝐀𝐏𝐈 𝐆𝐚𝐭𝐞𝐰𝐚𝐲: Facilitates the creation of a public REST API. 📌 𝐀𝐖𝐒 𝐄𝐂2: Employed to host the PostgreSQL Vector database. 📌 𝐆𝐏𝐓4 𝐚𝐬 𝐋𝐋𝐌: To generate better answers with context. One highlight of the tutorial is enabling chat history, which adds a human-like touch to the chatbot experience. By storing messages for each user, we create a personalized experience that enhances user engagement and satisfaction. Additionally, Also I explore considerations for scaling up to handle production-level deployment, ensuring smooth performance even with millions of users. Check out the tutorial playlist below for step-by-step guidance, and grab the code from the video's description to kickstart your own User's Personalized ChatBot journey! AWS PoC Playlist: https://lnkd.in/dMAmfVdj #AWS #Chatbot #AI #Tutorial #Serverless #TechTutorial #UserExperience #LLM #Langchain #machinelearninghub

Ahmedabad 146 Rathyatra 😊 #Rathyatra #saraspur

#Rathyatra #ahmedabad #reels

#Rathyatra #ahmedabad

Python Programming ASMR - List Comprehension vs Loops #asmr #shorts #python #programming

Do you know about this in Python?🤯 #python #programming #coding

Unbelievable Python Coding Hacks that will Blow Your Mind!....🤯#python #programming

Greetings Connections, I am pleased to present another tutorial video in which I demonstrate how to create a Chatbot for WhatsApp using ChatGPT. As you know, ChatGPT has become a familiar presence to us all, whether we use the official Chat features or a Telegram bot. In this tutorial, I will show you how to create a ChatGPT WhatsApp Bot using following components: - Flask for the request/response API - An OpenAI API key for ChatGPT - Twilio for the WhatsApp sandbox - AWS EC2 and Ngrok for 24/7 ChatBot development With this solution, you and your loved ones can now use ChatGPT anytime from your WhatsApp. I have included a tutorial video and GitHub repository for your reference. Tutorial - https://lnkd.in/djWFtGpG Github Repository - https://lnkd.in/dKHysQdM If you find this content helpful, please don't hesitate to like, share, and subscribe to the Machine Learning Hub YouTube channel. Please keep in mind that ChatGPT should be used judiciously. #chatgpt #aws #ec2 #python #gpt4 #gpt #flask

Greetings Connections, I am excited to share another Sagemaker Tutorial video with you. In the first tutorial, we covered how to deploy a custom Sklearn model using Sagemaker and created an endpoint that we called using Boto3. However, this approach creates many dependencies and is not ideal for production. To address this issue, Tutorial-2 demonstrates how to create a Rest API for Sagemaker Endpoint using Lambda + API Gateway integration. With this solution, we can easily use the Rest API in production without any Boto3 dependencies. To access the tutorial video, please visit this link: https://lnkd.in/dXkJZ5dV You can also find more Sagemaker tutorials in our playlist: https://lnkd.in/d9CGVkbz For the code related to these tutorials, please visit our GitHub repository: https://lnkd.in/d776JD8X If you find this video helpful, please like, share, and subscribe to our Machine Learning Hub YouTube channel. Thank you for your attention. #aws #sagemaker #machinelearning #youtube #cloud

Just passed AWS Solution Architect exam with flying colors 🤩 . . Now I am 3x AWS Certified 👨‍🎓 #aws #certified

I just cleared the @hereataws AWS Machine Learning Specialty Exam. It was very difficult exam that was containing - Machine Learning basic to advanced - Deep learning - Algorithms - Activation techniques - AWS Sagemaker - AWS built-in algorithm - AWS Model Deployment The exam was total of 1000 marks, passing mark is 750 & above. The cost is 300$ #aws #cloud #machinelearning #deeplearning